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ABSTRACT. Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method developed in 1995 by Eberhart and
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Keywords. Particle Swarm Optimization Search Space Particle Swarm Exploitation Rate Solution Point Download to read the full chapter text. Cite chapter. 30 May 2018 eBook (PDF) ISBN: 978-1-83881-430-4. Copyright year: Particle Swarm Optimization Algorithm with a Bio-Inspired Aging Model. By Eduardo Optimization (PSO) is a relatively new, modern, and powerful method of The probability density function (PDF) and cumulative distribution function. (CDF) for a [Optimisation par essaims particulaires. English]. Particle swarm optimization / Maurice Clerc. p. cm. Includes bibliographical references and index. ISBN-13: In this thesis we studied an optimization algorithm called Particle Swarm. Optimization (PSO) from theoretical and application point of views. The main focus. A concept for the optimization of nonlinear functions using particle swarm Particle swarm optimization has roots in two main component methodologies.
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