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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Logistic  planning  for  the  use  of  renewable  fuels  in  the  energy  complex of the region </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Denis Nefedov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Karolina Ketova</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ivan Rusyak</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Kalashnikov Izhevsk State Technical University</institution>
          ,
          <addr-line>Studencheskaya str., 7, Izhevsk, 426069</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <fpage>78</fpage>
      <lpage>84</lpage>
      <abstract>
        <p>   The article discusses the solution to the problem of logistics planning for the use of renewable fuels in the energy complex. The technology used is the production of thermal energy from wood waste. Logging and wood processing enterprises, which are a source of wood waste, wood waste processing stations, which produce chips and pellets, as well as coal-fired boilers, which generate heat energy, are considered as objects participating in the process of heat energy production. The structure of the optimal placement of participants in the process of heat energy production from wood waste is built on the example of the Udmurt Republic. The economic criterion for minimizing the cost of heat production at all coal-fired boiler houses in the region, taking into account the costs of the supply of wood waste, as well as the production and supply of chips and pellets, was chosen as an optimization criterion. In the numerical solution, a genetic algorithm with real coding was applied, and the calculations were parallelized. It was found that in the conditions of the Udmurt Republic, the organization of pellet plants turned out to be inappropriate. The optimal placement option assumes the presence of 6 points for the preparation of chips. This makes it possible to provide fuel for all coal-fired boiler houses located in the region. The average cost of producing heat energy using wood fuels for all the boiler houses under consideration was 897 rubles / Gcal, which is 76,6% lower than the corresponding indicator for heat energy obtained from coal.</p>
      </abstract>
      <kwd-group>
        <kwd> 1  Optimal location</kwd>
        <kwd>wood waste</kwd>
        <kwd>wood chips</kwd>
        <kwd>pellets</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction </title>
      <p>The use of renewable fuels in the modern world is of great practical importance. The need to use
alternative types of energy is due to the active growth of the world economy, and, as a result, an
increasing need for energy resources. The other side of the issue is the growing problems with the
environmental situation. The use of renewable fuels helps maintain a balance in ecosystems. The
benefits of renewable fuels are detailed in C. King. [1].</p>
      <p>One of the types of renewable fuels in the conditions of the Russian Federation is wood waste from
logging and timber processing. The potential of these fuels for the Russian Federation was estimated in
the work of the authors E. Solomin, A. Ibragim and P. Yunusov [2]. The prospect of using wood waste
in gasified areas is analyzed in the article by E. Kashin, R. Safin and V. Didenko [3].</p>
      <p>The use of wood waste in the energy complex with the practical implementation of the scheme of
its optimal logistics planning allows you to obtain a positive economic effect. The scale of the use of
these types of fuel is determined by various factors: the concentration of wood waste in the required
place, the possibilities of selling the obtained heat energy, technological and logistic schemes, labor and
material resources. Logistic planning, which consists in building the optimal structure of production
and the location of enterprises for processing raw materials, allows the most rational use of available
resource opportunities to minimize costs and maximize profits. The issues of logistic planning and
determination of the optimal location of objects distributed over the territory are set forth in the work
of M. Daskin [4].</p>
      <p>Approaches using new information technologies and mathematical methods of production and
logistics of wood fuel for the development of bioenergy in Russia are presented in the works of A.</p>
      <sec id="sec-1-1">
        <title>Sokolov and V. Syunev [5], K. Ketova and E. Trushkova [6].</title>
        <p>For the possibility of using renewable fuels at the regional level, concepts of fuel supply of local
heat supply systems with renewable fuels are being developed (see, for example, [7]).</p>
        <p>In this work, we will study the issue of logistics planning when using wood waste to obtain heat
energy supplied to the heat supply system of the region. We will give numerical calculations using the
example of the Udmurt Republic (UR).
2. Materials and research methods 
2.1. Problem statement and mathematical model of the problem </p>
        <p>Let us formulate a meaningful statement of the logistic problem of organizing the production of fuel
from wood waste and its delivery to points of consumption. We will use wood waste generated because
of the work of logging and timber processing enterprises. In our task, this waste is a raw material.</p>
        <p>Wood waste from the logging and woodworking industries has high moisture content, low heating
value and is inconvenient for delivery and direct combustion at heat sources. Therefore, the processing
of primary wood pulp into a more technologically advanced fuel is required. Fuel chips obtained by
shredding and natural drying of wood waste have the minimum production costs. However, chips have
a low density, so it is economically impractical to transport them over long distances exceeding 20-30
km. Wood pellets are a much more energy-concentrated type of fuel. To obtain them, additional
operations of drying, crushing and pressing of raw materials are required. It is already economically
feasible to transport this type of fuel over a distance of 100 km or more.</p>
        <p>Thus, wood waste is converted into two types of intermediate products: wood chips and pellets.</p>
        <p>There are a number  of heat production points – heat sources. As heat sources, we will consider
boiler houses that work with coal. Chips ( 1) and pellets ( 2) are used to generate heat energy,
which are interchangeable fuels (respectively,  2 types of fuel). For the production of fuel, raw
materials are used, prepared at the points of raw material accumulation, the total amount of which is
equal to  . It is required to find the volumes of production of chips and pellets in each of  production
points (Figure 1:).</p>
        <p>
          In the statement of the problem (
          <xref ref-type="bibr" rid="ref1">1</xref>
          )-(
          <xref ref-type="bibr" rid="ref3">3</xref>
          ):  are total costs of heat production, rubles/year;  are costs
of transportation of logging and wood processing waste, production of chips and pellets and their
delivery to boiler houses, rubles/year;  are costs for the processing of chips and pellets into heat energy
in boiler houses, rubles/year; 
the  th point (
        </p>
        <p>/year); 
chips or pellets, Gcal/year; 

is the volume of production of chips (
1) and pellets (
2) at
is the volume of heat energy production at the  th boiler house using wood</p>
        <p>are costs of processing wood waste into chips or pellets at the  th
point of their production, rubles/year; 
heat energy at the  th boiler house, rubles/year; 

are costs for the processing of chips and pellets into
are unit costs for the transportation of wood waste
for the production of chips or pellets between the  th point of accumulation of wood waste and the  th
point of production of chips or pellets, rubles/m3; 
are unit costs for the transportation of wood chips
or pellets for the production of heat energy between the  th point of their production and the  th boiler
house, rubles/
wood chips (
;</p>
        <p>is the share of demand of the  th boiler house, satisfied by the consumption of</p>
        <p>2), produced by the  th point of their production using wood waste
from the  th accumulation point;  is caloric equivalent, t f.e./Gcal; 
is consumption coefficient of
wood waste unit for the production of a fuel unit in the form of chips or pellets, units/t f.e. (units={t,
production on chips or pellets to its useful output; takes into account the costs of chips or pellets for the

}, t f.e. is ton of equivalent fuel);</p>
        <p>
          is coefficient of the ratio of the total volume of heat energy
objective function of the problem is the total cost of heat production at all boiler houses, taking into
account the cost of production and supply of wood chips and pellets:

∑
∑
 


∑
∑
 
∑
∑
 ,                                                                         (
          <xref ref-type="bibr" rid="ref1">1</xref>
          ) 
∑
∑
        </p>
        <p>
          ,            (
          <xref ref-type="bibr" rid="ref2">2</xref>
          ) 
.                                                            (
          <xref ref-type="bibr" rid="ref3">3</xref>
          ) 


∑
        </p>
        <p>1,  ,  
/year.</p>
        <p>
          Θ
,

1,  ,
1, 2,                                 (
          <xref ref-type="bibr" rid="ref4">4</xref>
          ) 
are specific conditionally fixed costs for the production of chips or pellets at the  th point,
are conditionally fixed costs for the production of chips and pellets at the  th point,
is Heaviside function.
        </p>
        <p>,</p>
        <p>1,  ,

1,  ,
,

∑
1,  ,

∑


∑
∑</p>
        <p>1,
own needs of the boiler house and its other costs, t f.e./Gcal.</p>
        <p>The controlled variables of the task are variables 
demand for wood chips and pellets.
technical and economic calculations:
that determine the share of the boiler house
of processing wood waste into chips and pellets are determined because of
where 
is the total volume of heat production in the  th boiler house, Gcal/year; 
is the total
volume of wood waste at the  th point of their accumulation,</p>
        <p>
          Relations (
          <xref ref-type="bibr" rid="ref6">6</xref>
          ) establish a balance between the output of chips and pellets at the points of their
production and the need for chips and pellets of coal-fired boiler houses for the production of heat
energy. The first inequality (
          <xref ref-type="bibr" rid="ref7">7</xref>
          ) determines the balance between the required volume of wood waste and
the potential of the raw
        </p>
        <p>
          material base at logging and wood processing enterprises. The second
expression (
          <xref ref-type="bibr" rid="ref7">7</xref>
          ) reflects the condition of satisfaction of chips and pellets for all considered boiler houses.
        </p>
        <p>Another type of restrictions that have a significant impact on the choice of the optimal option for the
location of production is associated with administrative regulators: tariffs and quotas. The use of these
regulators increases the cost of transported resources, which is associated with restrictions on their
movement.</p>
        <p>The costs 
where 
rubles/t f.e.; 
rubles/year; Θ</p>
        <p>boiler house, rubles/Gcal; 
the  th boiler house, rubles/year.</p>
        <p>∑</p>
        <p>∑

∑</p>
        <p>∑</p>
      </sec>
      <sec id="sec-1-2">
        <title>The following ratios are accepted as restrictions:</title>
        <p>
          The cost of processing wood chips and pellets into heat energy is determined by the formula:


Θ 
,
1,  ,
1, 2,                               (
          <xref ref-type="bibr" rid="ref5">5</xref>
          ) 
where 
are specific conditionally fixed costs for the production of a unit of heat energy at the  th
are conditionally fixed costs for the entire production of heat energy at
        </p>
        <p>If we introduce a tariff for the transportation of wood waste for the production of chips and pellets
between the  th point of accumulation of wood waste and the  th point of production of chips (
1)
and pellets (</p>
        <p>2) in the amount of  , and the tariff for the transportation of wood chips and pellets
between the  th point of their production and  th boiler house in size of 
the corresponding unit transport costs will be calculated using the formulas:
, then the tariffed values of</p>
        <p>If we introduce expressions for accounting for transportation quotas into the problem statement, then
the original model should be supplemented with restrictions of the form:</p>
        <p>∗
∑
1 
∑



,

∗
1</p>
        <p>
          .                               (
          <xref ref-type="bibr" rid="ref8">8</xref>
          ) 


 ̅ ,

∑
∑


.               (
          <xref ref-type="bibr" rid="ref9">9</xref>
          ) 
        </p>
        <p>
          In the restrictions (
          <xref ref-type="bibr" rid="ref9">9</xref>
          ),  ̅ is the volume of transported, taking into account the introduction of
transportation quotas, wood waste for the production of chips (
 th point of wood waste accumulation and the  th point of production of chips or pellets; 
is the
volume of chips and pellets transported, taking into account the introduction of transportation quotas,
between the  th point of production of chips or pellets and the  th boiler house.
        </p>
        <p>
          Thus, the problem statement has the form (
          <xref ref-type="bibr" rid="ref1">1</xref>
          )-(
          <xref ref-type="bibr" rid="ref9">9</xref>
          ). Consider a numerical algorithm for its solution.
2.2.
        </p>
        <p>Algorithm for solving the problem </p>
        <p>The problem being solved is nonlinear. In the course of its solution, we will use the results obtained,
in particular, in the works of researchers T. Rapcsak [8] and Q. Dong, T. Xu, J. Yang и Z. Zhou [9].
These works present the results of the study of nonlinear optimization problems based on the theory of
genetic algorithms.</p>
        <p>
          The sufficiently large dimension of the vector of the sought solutions hampers the search for the
optimal solution in the problem under study. For example, for the conditions of the Udmurt Republic,
the dimension of the original vector formed by the array of 
is 180,000 elements. To solve this
problem, the results of the work of researchers P. K.-H. Phua, D. Ming, W. Fan and Y. Zhang [10] were
used, where parallel algorithms are investigated to solve large-scale nonlinear optimization problems.
Also, in the problem being solved (
          <xref ref-type="bibr" rid="ref1">1</xref>
          )-(
          <xref ref-type="bibr" rid="ref9">9</xref>
          ) the objective function (
          <xref ref-type="bibr" rid="ref1">1</xref>
          )-(
          <xref ref-type="bibr" rid="ref3">3</xref>
          ) is nondifferentiable.
        </p>
        <p>A genetic algorithm with real coding was used, and the method of parallelizing computations was
also applied (Figure 2:).</p>
        <p>Formation of the initial option for the location of points for the production of chips, pellets, taking
into account the location of coal-fired boiler houses and enterprises of logging and wood processing
First thread of production
location options</p>
        <p>Second thread of
production location options
Рth thread of production</p>
        <p>location options
yes</p>
        <p>yes
yes</p>
        <p>Stop
criterion</p>
        <p>no</p>
        <p>Application of
selection, crossing
and mutation
operators
Using the
migration
operator</p>
        <p>Stop
criterion</p>
        <p>no</p>
        <p>Application of
selection, crossing
and mutation
operators
Using the
migration
operator</p>
        <p>Choosing the best option for the location of points for the production of chips and pellets
Figure 2: Algorithm for solving the problem 
…
…</p>
        <p>Stop
criterion</p>
        <p>no</p>
        <p>Application of
selection, crossing
and mutation
operators
Using the
migration
operator
QC , thousand t f.e./year
20
15
10
5
0
QT , QC , thousand t f.e./year
20
15
10
5
0</p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>3. Research results </title>
      <p>We will consider the solution of the presented problem using the example of the Udmurt Republic.
The territory of this region is almost half covered with forests, which implies the presence of the
necessary amount of wood waste for the practical implementation of the problem.</p>
      <p>The republic consists of 25 districts. Figure 3: presents graphs of the energy potential of waste from
logging and wood processing enterprises. Figure 4: shows the annual demand of coal-fired boiler houses
for fuel and the energy potential of wood raw materials by regions of UR in 2019.</p>
      <p>logging waste potential
woodworking waste potential
Figure 3: Distribution of the energy potential of logging and wood processing waste by regions of the 
UR in 2019 </p>
      <p>wood waste potential need for coal-fired boilers</p>
      <p>For UR it is necessary to transfer 60 coal-fired boiler houses to wood-based fuels: wood chips and
pellets. The raw material for the production of wood chips and pellets is waste from logging and wood
processing enterprises. Initial data on the needs of boiler houses for chips and pellets, stocks of wood
waste, unit costs for transportation of raw materials and fuel are given in [7]. The total volume of heat
supply in the considered boiler houses is 56.277 Gcal/year. The points of accumulation of raw materials
for the production of wood chips with a total potential of 55.960  /year are located outside the
settlements – next to the points of deforestation. The raw material base for pellets is determined by the
amount of waste from a wood processing enterprise located in one of the regions of the UR (Balezino).
The potential of this point for the accumulation of raw materials is 22.480 t/year. The coefficient that
determines the amount of wood waste required for the production of chips is  3.759  /t f.e., for
the production of pellets –  3.644 t/t f.e. The ratio of the generated heat energy to its useful supply
for wood chips is  1.232, for pellets –  1.169. Caloric equivalent  0.143 t f.e./Gcal.</p>
      <p>When solving the problem, it was assumed that potential locations for the production of chips and
pellets should be located in the same place where coal-fired boiler houses are located. At the same time,
each boiler house can be supplied with either chips or pellets and only from one fuel production point.
Also, a restriction was introduced that the wood waste of any five collection points is sufficient to
produce chips and pellets in a volume that exceeds the need of any boiler house.</p>
      <p>
        As a result of solving problem (
        <xref ref-type="bibr" rid="ref1">1</xref>
        )-(
        <xref ref-type="bibr" rid="ref9">9</xref>
        ), an optimal variant of placement was obtained, in which 6
points for the preparation of chips provide fuel for all heat sources (see Figure 5:). The organization of
pellet plants on the territory of the UR from the point of view of minimizing total costs turned out to be
inexpedient
      </p>
      <p>Yar</p>
      <sec id="sec-2-1">
        <title>Pudem</title>
      </sec>
      <sec id="sec-2-2">
        <title>Ezhevo</title>
      </sec>
      <sec id="sec-2-3">
        <title>Ponino</title>
        <p>Glazov</p>
      </sec>
      <sec id="sec-2-4">
        <title>Andreevtsy</title>
        <p>Balezino
Yukamenskoe</p>
      </sec>
      <sec id="sec-2-5">
        <title>Otogurt</title>
      </sec>
      <sec id="sec-2-6">
        <title>Chepza</title>
        <p>Kez</p>
        <sec id="sec-2-6-1">
          <title>Raw material accumulation point</title>
        </sec>
        <sec id="sec-2-6-2">
          <title>Wood processing enterprise</title>
          <p>Сhip production point</p>
        </sec>
        <sec id="sec-2-6-3">
          <title>Boiler house</title>
          <p>Figure 5: Optimal layout of wood fuel production points </p>
          <p>The total production of wood chips was 9.905 t f.e./year. The objective function value is 50.5 million
rubles/year. The average cost of producing heat energy using wood fuels for all considered coal-fired
boiler houses amounted to 897 rubles/Gcal, which is significantly lower than the corresponding
indicator for heat energy on coal, equal to 1.584 rubles/Gcal [7].</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>4. Conclusion </title>
      <p>The problem of logistics planning for the use of renewable fuels in the energy complex was solved
on the example of the Udmurt Republic. The technology used is the production of heat energy from
wood waste. Logging and wood processing enterprises, which are a source of wood waste, wood waste
processing stations, which produce chips and pellets, as well as coal-fired boilers, which generate heat
energy, are considered as objects participating in the process of heat energy production. The structure
of optimal placement of participants in the process of heat energy production from wood waste on the
territory of the Udmurt Republic from the point of view of the criterion of minimizing the costs of its
production and delivery to the consumer has been built. The restrictions in the form of tariffs for the
transportation of wood waste, chips and pellets were also taken into account.</p>
      <p>It was found that in the conditions of the Udmurt Republic, the organization of pellet plants turned
out to be inappropriate. It was found that the optimal placement option assumes the presence of 6 wood
chips preparation points. This makes it possible to provide fuel to all coal-fired boiler houses located in
the region. The average cost of producing heat energy using wood fuels for all the boiler houses under
consideration was 897 rubles/Gcal, which is 76.6% lower than the corresponding indicator for heat
energy obtained from coal.</p>
    </sec>
    <sec id="sec-4">
      <title>5. References </title>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>Carey</given-names>
            <surname>King</surname>
          </string-name>
          ,
          <article-title>Beyond the Competing Narratives on Energy, Growth, and</article-title>
          <string-name>
            <surname>Policy</surname>
          </string-name>
          ,
          <source>The Economic Superorganism</source>
          , Springer International Publishing (
          <year>2021</year>
          ). doi:
          <volume>10</volume>
          .1007/978-3-
          <fpage>030</fpage>
          -50295-9.
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>E.</given-names>
            <surname>Solomin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.</given-names>
            <surname>Ibragim</surname>
          </string-name>
          ,
          <string-name>
            <given-names>P.</given-names>
            <surname>Yunusov</surname>
          </string-name>
          , Renewable Energy Potential of Russian Federation, in: A.
          <string-name>
            <surname>Radionov</surname>
            ,
            <given-names>A</given-names>
          </string-name>
          . Karandaev (Eds),
          <source>Advances in Automation. RusAutoCon 2019, Lecture Notes in Electrical Engineering</source>
          , volume.
          <volume>641</volume>
          , Springer, Cham,
          <year>2020</year>
          . doi: https://doi.org/10.1007/978-3-
          <fpage>030</fpage>
          -39225-3_
          <fpage>51</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>E. M.</given-names>
            <surname>Kashin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R. R.</given-names>
            <surname>Safin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V. N.</given-names>
            <surname>Didenko</surname>
          </string-name>
          ,
          <article-title>Generating Gas from Wood Waste as Alternative to Natural Gas in Package Boilers</article-title>
          , in: A.
          <string-name>
            <surname>Radionov</surname>
            ,
            <given-names>A</given-names>
          </string-name>
          . Karandaev (Eds),
          <source>Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering</source>
          , volume
          <volume>641</volume>
          , Springer, Cham,
          <year>2020</year>
          . doi: https://doi.org/10.1007/978-3-
          <fpage>030</fpage>
          -39225-3_
          <fpage>53</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>M. S.</given-names>
            <surname>Daskin</surname>
          </string-name>
          ,
          <string-name>
            <surname>What You Should Know About Location Modeling</surname>
          </string-name>
          , Naval Research Logistics, volume
          <volume>55</volume>
          (
          <issue>4</issue>
          ),
          <year>2008</year>
          , pp.
          <fpage>283</fpage>
          -
          <lpage>294</lpage>
          . doi:
          <volume>10</volume>
          .1002/nav.20284.
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>A.</given-names>
            <surname>Sokolov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V.</given-names>
            <surname>Syunev</surname>
          </string-name>
          ,
          <article-title>Decision Support System for Wood Fuel Production and Logistics</article-title>
          , in: V.
          <string-name>
            <surname>Murgul</surname>
          </string-name>
          , M. Pasetti (Eds),
          <source>International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT</source>
          <year>2018</year>
          . EMMFT-2018
          <source>2018. Advances in Intelligent Systems and Computing</source>
          , volume
          <volume>983</volume>
          , Springer, Cham,
          <year>2019</year>
          . doi: https://doi.org/10.1007/978-3-
          <fpage>030</fpage>
          -19868-8_
          <fpage>83</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>K. V.</given-names>
            <surname>Ketova</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E. V.</given-names>
            <surname>Trushkova</surname>
          </string-name>
          ,
          <article-title>The solution of the logistics task of fuel supply for the regional distributed heat supply system</article-title>
          ,
          <source>Computer Research and Modeling</source>
          ,
          <volume>4</volume>
          (
          <issue>2</issue>
          ),
          <fpage>451</fpage>
          -
          <lpage>470</lpage>
          . doi:
          <volume>10</volume>
          .20537/2076-7633-2012-4-2-
          <fpage>451</fpage>
          -470.
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <given-names>I. G.</given-names>
            <surname>Rusyak</surname>
          </string-name>
          ,
          <string-name>
            <given-names>V. K.</given-names>
            <surname>Preshukhin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>K. V.</given-names>
            <surname>Ketova</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S. A.</given-names>
            <surname>Korolev</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E. V.</given-names>
            <surname>Trushkova</surname>
          </string-name>
          ,
          <article-title>Development of the Concept of Fuel Supply Distributed Regional Heating System of Local Renewable Fuels, Energy Safety</article-title>
          and
          <string-name>
            <given-names>Energy</given-names>
            <surname>Economy</surname>
          </string-name>
          ,
          <source>Energy Safety and Energy Economy</source>
          <volume>5</volume>
          (
          <year>2010</year>
          )
          <fpage>14</fpage>
          -
          <lpage>20</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <given-names>T.</given-names>
            <surname>Rapcsak</surname>
          </string-name>
          , Smooth Nonlinear Optimization in Rn, Springer-Verlag, p.
          <fpage>376</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <given-names>Qi</given-names>
            <surname>Dong</surname>
          </string-name>
          . Tingxue Xu,
          <string-name>
            <given-names>Jikun</given-names>
            <surname>Yang</surname>
          </string-name>
          ,
          <source>Zhiheng Zhou, Research on Nonlinear Optimization Problem Based on Genetic Algorithm Theory, In book: Proceedings of the First Symposium on Aviation Maintenance</source>
          and
          <string-name>
            <surname>Management-Volume</surname>
            <given-names>I</given-names>
          </string-name>
          ,
          <year>2014</year>
          , pp.
          <fpage>527</fpage>
          -
          <lpage>534</lpage>
          . doi:
          <volume>10</volume>
          .1007/978-3-
          <fpage>642</fpage>
          -54236- 7_
          <fpage>58</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <given-names>Paul</given-names>
            <surname>Kang-Hoh</surname>
          </string-name>
          <string-name>
            <surname>Phua</surname>
          </string-name>
          , Daohua Ming, Weiguo Fan,
          <article-title>Yan Zhang, Parallel Algorithms for Solving Large-Scale Nonlinear Optimization Problems</article-title>
          , in: X.
          <string-name>
            <surname>Yang</surname>
            ,
            <given-names>K.L.</given-names>
          </string-name>
          <string-name>
            <surname>Teo</surname>
          </string-name>
          , L. Caccetta (Eds),
          <source>Optimization Methods and Applications. Applied Optimization</source>
          , volume
          <volume>52</volume>
          , Springer, Boston, MA,
          <year>2001</year>
          . doi: https://doi.org/10.1007/978-1-
          <fpage>4757</fpage>
          -3333-4_
          <fpage>15</fpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>