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Books on the topic 'Particle swarm optimization techniques'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Olsson, Andrea E. Particle swarm optimization: Theory, techniques, and applications. Nova Science Publishers, 2010.

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2

Lazinica, Aleksandar. Particle swarm optimization. InTech, 2009.

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3

Mercangöz, Burcu Adıgüzel, ed. Applying Particle Swarm Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70281-6.

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4

Couceiro, Micael, and Pedram Ghamisi. Fractional Order Darwinian Particle Swarm Optimization. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19635-0.

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5

Mikki, Said M., and Ahmed A. Kishk. Particle Swarm Optimization: A Physics-Based Approach. Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01704-9.

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6

1974-, Parsopoulos Konstantinos E., and Vrahatis Michael N. 1955-, eds. Particle swarm optimization and intelligence: Advances and applications. Information Science Reference, 2010.

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7

Parsopoulos, Konstantinos E. Particle swarm optimization and intelligence: Advances and applications. Information Science Reference, 2010.

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8

Kiranyaz, Serkan, Turker Ince, and Moncef Gabbouj. Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-37846-1.

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9

Choi-Hong, Lai, and Wu Xiao-Jun, eds. Particle swarm optimisation: Classical and quantum perspectives. CRC Press, 2011.

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10

Clerc, Maurice. Particle Swarm Optimization. Wiley & Sons, Incorporated, John, 2010.

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11

Clerc, Maurice. Particle Swarm Optimization. ISTE Publishing Company, 2006.

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12

Lazinica, Aleksandar, ed. Particle Swarm Optimization. InTech, 2009. http://dx.doi.org/10.5772/109.

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13

Clerc, Maurice. Particle Swarm Optimization. Wiley & Sons, Incorporated, John, 2010.

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14

Clerc, Maurice. Particle Swarm Optimization. Wiley & Sons, Incorporated, John, 2013.

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15

Clerc, Maurice. Particle Swarm Optimization. Wiley & Sons, Incorporated, John, 2013.

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16

Clerc, Maurice. Particle Swarm Optimization. Wiley & Sons, Incorporated, John, 2010.

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17

PARTICLE SWARM OPTIMIZATION. ISTE, 2006.

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18

Erdoğmuş, Pakize, ed. Particle Swarm Optimization with Applications. InTech, 2018. http://dx.doi.org/10.5772/intechopen.69826.

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19

Church, May. Advances in Particle Swarm Optimization. States Academic Press, 2021.

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20

T.S., Felix, and Manoj Kumar, eds. Swarm Intelligence, Focus on Ant and Particle Swarm Optimization. I-Tech Education and Publishing, 2007. http://dx.doi.org/10.5772/48.

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21

Swarm Intelligence, Focus on Ant and Particle Swarm Optimization. InTech, 2007.

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22

COOPERATIVE PARTICLE SWARM OPTIMIZATION ALGORITHMS AND APPLICATIONS. Cayley Nielson Press, Inc., 2017.

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23

Mikki, Said M., and Ahmed A. Kishk. Particle Swarm Optimizaton: A Physics-Based Approach. Morgan & Claypool Publishers, 2008.

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24

Particle Swarm Optimization: Advances in Research and Applications. Nova Science Publishers, Incorporated, 2017.

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25

Lai, Choi-Hong, Jun Sun, and Xiao-Jun Wu. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2016.

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26

Lai, Choi-Hong, Jun Sun, and Xiao-Jun Wu. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2016.

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27

Sun, Jun. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2013.

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28

Multi-Objective Mission Route Planning Using Particle Swarm Optimization. Storming Media, 2002.

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29

Kiranyaz, Serkan, Turker Ince, and Moncef Gabbouj. Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer London, Limited, 2013.

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30

Multidimensional Particle Swarm Optimization For Machine Learning And Pattern Recognition. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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31

Traveling Salesman Problem for Surveillance Mission Using Particle Swarm Optimization. Storming Media, 2001.

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32

Kiranyaz, Serkan, Turker Ince, and Moncef Gabbouj. Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer, 2015.

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33

Burcu Adıgüzel Mercangöz. Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios. Springer International Publishing AG, 2022.

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34

Mercangöz, Burcu Adıgüzel. Applying Particle Swarm Optimization: New Solutions and Cases for Optimized Portfolios. Springer International Publishing AG, 2021.

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35

Ghamisi, Pedram, and Micael Couceiro. Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm. Springer International Publishing AG, 2015.

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36

Ghamisi, Pedram, and Micael Couceiro. Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm. Springer London, Limited, 2015.

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37

Jambulingam, Vikramarajan. Particle Swarm Optimizer: Economic Dispatch with Valve Point Effect Using Various PSO Techniques. Anchor Academic Publishing. ein Imprint der Diplomica Verlag GmbH, 2014.

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38

Particle Swarm Optimization Approach for Distributed Generation Planning to Improve the Voltage Profile Margin. GRIN Verlag GmbH, 2017.

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39

Luo, Xin, and Ye Yuan. Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach. Springer, 2022.

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40

Le, Dac-Nhuong, Nhu Gia Nguyen, and Anand Nayyar. Advances in Swarm Intelligence for Optimizing Problems in Computer Science. Taylor & Francis Group, 2018.

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41

Le, Dac-Nhuong, Nhu Gia Nguyen, and Anand Nayyar. Advances in Swarm Intelligence for Optimizing Problems in Computer Science. Taylor & Francis Group, 2018.

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42

Advances in Swarm Intelligence for Optimizing Problems in Computer Science. Taylor & Francis Group, 2018.

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43

López, Javier. Optimización multi-objetivo. Editorial de la Universidad Nacional de La Plata (EDULP), 2015. http://dx.doi.org/10.35537/10915/45214.

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Abstract:

Cuando hablamos de optimización en el ámbito de las ciencias de la computación hacemos referencia al mismo concepto coloquial asociado a esa palabra, la concreción de un objetivo utilizando la menor cantidad de recursos disponibles, o en una visión similar, la obtención del mejor objetivo posible utilizando todos los recursos con lo que se cuenta. Los métodos para encontrar la mejor solución (óptima) varían de acuerdo a la complejidad del problema enfrentado. Para problemas triviales, el cerebro humano posee la capacidad de resolverlos (encontrar la mejor solución) directamente, pero a medida

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