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Books on the topic 'Optimization algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Spedicato, Emilio, ed. Algorithms for Continuous Optimization. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-009-0369-2.

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2

Cheng, Shi, and Yuhui Shi, eds. Brain Storm Optimization Algorithms. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15070-9.

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3

L, Kreher Donald, ed. Graphs, algorithms, and optimization. Chapman & Hall/CRC, 2005.

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4

1939-, Dennis J. E., and Institute for Computer Applications in Science and Engineering., eds. Algorithms for bilevel optimization. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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5

Heiko, Rieger, ed. Optimization algorithms in physics. Wiley-VCH, 2002.

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6

Pereira, Ana I., Florbela P. Fernandes, João P. Coelho, et al., eds. Optimization, Learning Algorithms and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91885-9.

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7

Grötschel, Martin, László Lovász, and Alexander Schrijver. Geometric Algorithms and Combinatorial Optimization. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78240-4.

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8

Uryasev, Stanislav, and Panos M. Pardalos, eds. Stochastic Optimization: Algorithms and Applications. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6594-6.

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9

Jansen, Klaus, and José Rolim, eds. Approximation Algorithms for Combinatiorial Optimization. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0053958.

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10

Migdalas, Athanasios, Panos M. Pardalos, and Peter Värbrand, eds. Multilevel Optimization: Algorithms and Applications. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4613-0307-7.

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11

Fukunaga, Takuro, and Ken-ichi Kawarabayashi, eds. Combinatorial Optimization and Graph Algorithms. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6147-9.

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12

Koziel, Slawomir, and Xin-She Yang, eds. Computational Optimization, Methods and Algorithms. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20859-1.

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13

Jansen, Klaus, Stefano Leonardi, and Vijay Vazirani, eds. Approximation Algorithms for Combinatorial Optimization. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45753-4.

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14

Bhatnagar, S., H. L. Prasad, and L. A. Prashanth. Stochastic Recursive Algorithms for Optimization. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0.

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15

Grötschel, Martin, László Lovász, and Alexander Schrijver. Geometric Algorithms and Combinatorial Optimization. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-97881-4.

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16

Bahmani, Sohail. Algorithms for Sparsity-Constrained Optimization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01881-2.

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17

Jansen, Klaus, and Samir Khuller, eds. Approximation Algorithms for Combinatorial Optimization. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44436-x.

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18

Polak, E. Optimization: Algorithms and consistent approximations. Springer-Verlag, 1997.

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19

Pereira, Ana I., Andrej Košir, Florbela P. Fernandes, Maria F. Pacheco, João P. Teixeira, and Rui P. Lopes, eds. Optimization, Learning Algorithms and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23236-7.

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20

James, Evans. Optimization Algorithms for Networks and Graphs. Taylor & Francis Group, 2017.

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21

James, Evans. Optimization Algorithms for Networks and Graphs. Taylor & Francis Group, 2017.

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22

Optimization Algorithms for Networks and Graphs. Taylor & Francis Group, 2017.

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23

Badar, Altaf Q. H. Evolutionary Optimization Algorithms. Taylor & Francis Group, 2021.

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24

Kochenderfer, Mykel J., and Tim A. Wheeler. Algorithms for Optimization. MIT Press, 2019.

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25

Simon, Dan. Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2013.

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26

Lange, Kenneth. MM Optimization Algorithms. SIAM-Society for Industrial and Applied Mathematics, 2016.

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27

Valdman, Jan, ed. Optimization Algorithms - Examples. InTech, 2018. http://dx.doi.org/10.5772/intechopen.71370.

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28

Kochenderfer, Mykel J., and Tim A. Wheeler. Algorithms for Optimization. The MIT Press, 2019.

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29

Natureinspired Optimization Algorithms. Elsevier Science Publishing Co Inc, 2014.

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30

Evolutionary Optimization Algorithms. Taylor & Francis Group, 2021.

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31

Simon, Dan. Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2014.

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32

Simon, Dan. Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2014.

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33

Badar, Altaf Q. H. Evolutionary Optimization Algorithms. Taylor & Francis Group, 2021.

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34

Kochenderfer, Mykel J., and Tim A. Wheeler. Algorithms for Optimization. MIT Press, 2019.

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35

Bertsekas, Dimitri P. Convex Optimization Algorithms. Athena Scientific, 2015.

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36

Badar, Altaf Q. H. Evolutionary Optimization Algorithms. Taylor & Francis Group, 2021.

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37

Simon, Dan. Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2013.

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38

Valdman, Jan. Optimization Algorithms: Examples. IntechOpen, 2018.

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39

Evolutionary Optimization Algorithms. Wiley & Sons, Incorporated, John, 2013.

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40

Kreher, Donald L., and William Kocay. Graphs, Algorithms, and Optimization. Taylor & Francis Group, 2016.

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41

Optimization Algorithms [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94617.

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42

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Abstract:

Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in sm

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43

Nature-Inspired Optimization Algorithms. Elsevier, 2014. http://dx.doi.org/10.1016/c2013-0-01368-0.

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44

Kocay, William, and Donald L. Kreher. Graphs, Algorithms, and Optimization. Edited by Kenneth H. Rosen. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315272689.

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45

Nature-Inspired Optimization Algorithms. Elsevier, 2021. http://dx.doi.org/10.1016/c2019-0-03762-4.

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46

Khamparia, Aditya, Ashish Khanna, Nhu Gia Nguyen, and Bao Le Nguyen, eds. Nature-Inspired Optimization Algorithms. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110676112.

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47

Graphs, Algorithms, and Optimization. Routledge, 2004. http://dx.doi.org/10.4324/9780203489055.

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48

A, Vasuki. Nature-Inspired Optimization Algorithms. Taylor & Francis Group, 2020.

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49

Kreher, Donald L., and William Kocay. Graphs, Algorithms, and Optimization. Taylor & Francis Group, 2004.

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50

Nature-Inspired Optimization Algorithms. Elsevier, 2016.

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