Particle swarm optimization with applications / / edited by Pakize Erdoğmuş.
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm. From the theoretical aspect, PSO has preserved its popularity because of the fast convergence rate, and a lot of...
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| Place / Publishing House: | London, England : : IntechOpen,, [2018] ©2018 |
| Year of Publication: | 2018 |
| Language: | English |
| Physical Description: | 1 online resource (x, 100 pages) :; illustrations |
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| 300 | |a 1 online resource (x, 100 pages) : |b illustrations | ||
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| 588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 15, 2022). | ||
| 520 | |a This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm. From the theoretical aspect, PSO has preserved its popularity because of the fast convergence rate, and a lot of hybrid algorithms have recently been developed in order to increase the performance of the algorithm. At the same time, PSO has also been used to solve different kinds of engineering optimization problems. In this book, a reader can find engineering applications of PSO, such as environmental economic dispatch and grid computing. | ||
| 546 | |a English | ||
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Swarm intelligence. | |
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| 653 | |a Engineering and Technology | ||
| 653 | |a Mathematics | ||
| 653 | |a Applied Mathematics | ||
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| 700 | 1 | |a Erdogmus, Pakize, |e editor. | |
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