Optimisasi Swarm Partikel Menggunakan Scilab
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Optimisasi Swarm Partikel Menggunakan Scilab
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Author : Windarto
language : id
Publisher: Airlangga University Press
Release Date : 2021-04-21
Optimisasi Swarm Partikel Menggunakan Scilab written by Windarto and has been published by Airlangga University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-21 with Computers categories.
Buku ini membahas implementasi metode optimisasi swarm partikel menggunakan perangkat lunak Scilab. Optimisasi swarm partikel (particle swarm optimization) merupakan salah satu metode optimasi yang terinspirasi dari perilaku swarm (kelompok/gerombolan) hewan yang bergerak bersama, seperti ikan dan burung. Salah satu keunggulan metode optimisasi swarm partikel adalah bahwa metode ini relatif sederhana. Metode optimisasi swarm partikel sangat sulit terimplementasi dengan baik tanpa menggunakan suatu perangkat lunak (program) komputer.
Particle Swarm Optimization
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Author : Said M. Mikki / Ahmed A. Kishk
language : en
Publisher:
Release Date : 2008
Particle Swarm Optimization written by Said M. Mikki / Ahmed A. Kishk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Particle Swarm Optimization
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Author : Said M. Mikki
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008
Particle Swarm Optimization written by Said M. Mikki and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connection between what are usually assumed to be separate fields of study, optimization and physics. Within this framework, it becomes quite natural to derive the recently introduced quantum PSO algorithm from the Hamiltonian or the Lagrangian of the dynamical system. The physical theory of the PSO is used to suggest some improvements in the algorithm itself, like temperature acceleration techniques and the periodic boundary condition. At the end, we provide a panorama of applications demonstrating the power of the PSO, classical and quantum, in handling difficult engineering problems. The goal of this work is to provide a general multi-disciplinary view on various topics in physics, mathematics, and engineering by illustrating their interdependence within the unified framework of the swarm dynamics. Table of Contents: Introduction / The Classical Particle Swarm Optimization Method / Boundary Conditions for the PSO Method / The Quantum Particle Swarm Optimization / Bibliography /Inde
Particle Swarm Optimization
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Author : Andrea E. Olsson
language : en
Publisher: Nova Science Publishers
Release Date : 2014-05-14
Particle Swarm Optimization written by Andrea E. Olsson and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Mathematical optimization categories.
Particle Swarm Optimization With Mutation
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Author : Andrew James Stacey
language : en
Publisher:
Release Date : 2003
Particle Swarm Optimization With Mutation written by Andrew James Stacey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematical optimization categories.
Particle Swarm Optimization For Scheduling Problems
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Author : Jens Czogalla
language : en
Publisher:
Release Date : 2010
Particle Swarm Optimization For Scheduling Problems written by Jens Czogalla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Particles categories.
Handbook Of Particle Swarm Optimization
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Author : Donchin Parasuraman
language : en
Publisher:
Release Date : 2012
Handbook Of Particle Swarm Optimization written by Donchin Parasuraman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematical optimization categories.
Particle Swarm Optimization With Applications
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Author : Pakize Erdoğmuş
language : en
Publisher:
Release Date : 2018
Particle Swarm Optimization With Applications written by Pakize Erdoğmuş and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
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.
Particle Swarm Optimisation
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Author : Jun Sun
language : en
Publisher: CRC Press
Release Date : 2011-12-19
Particle Swarm Optimisation written by Jun Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-19 with Computers categories.
Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to implement, it is not a globally convergent algorithm. In Particle Swarm Optimisation: Classical and Quantum Perspectives, the authors introduce their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO) algorithm. This globally convergent algorithm has fewer parameters, a faster convergence rate, and stronger searchability for complex problems. The book presents the concepts of optimisation problems as well as random search methods for optimisation before discussing the principles of the PSO algorithm. Examples illustrate how the PSO algorithm solves optimisation problems. The authors also analyse the reasons behind the shortcomings of the PSO algorithm. Moving on to the QPSO algorithm, the authors give a thorough overview of the literature on QPSO, describe the fundamental model for the QPSO algorithm, and explore applications of the algorithm to solve typical optimisation problems. They also discuss some advanced theoretical topics, including the behaviour of individual particles, global convergence, computational complexity, convergence rate, and parameter selection. The text closes with coverage of several real-world applications, including inverse problems, optimal design of digital filters, economic dispatch problems, biological multiple sequence alignment, and image processing. MATLAB®, Fortran, and C++ source codes for the main algorithms are provided on an accompanying CD-ROM. Helping you numerically solve optimisation problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. It not only explains how to use the algorithms, but also covers advanced topics that establish the groundwork for understanding state-of-the-art research in the field.
Particle Swarm Optimization And Intelligence
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Author : Konstantinos E. Parsopoulos
language : en
Publisher:
Release Date : 2010
Particle Swarm Optimization And Intelligence written by Konstantinos E. Parsopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematical optimization categories.