| Edition |
1st ed |
| Descript |
1 online resource (419 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Chapman and Hall/CRC Numerical Analysis and Scientific Computing Ser |
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Chapman and Hall/CRC Numerical Analysis and Scientific Computing Ser
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| Note |
Front Cover -- Contents -- Preface -- Authors -- Chapter 1: Introduction -- Chapter 2: Particle Swarm Optimisation -- Chapter 3: Some Variants of Particle Swarm Optimisation -- Chapter 4: Quantum-Behaved Particle Swarm Optimisation -- Chapter 5: Advanced Topics -- Chapter 6: Industrial Applications -- Back Cover |
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IntroductionOptimisation Problems and Optimisation MethodsRandom Search TechniquesMetaheuristic MethodsSwarm IntelligenceParticle Swarm OptimisationOverviewMotivationsPSO Algorithm: Basic Concepts and the ProcedureParadigm: How to Use PSO to Solve Optimisation ProblemsSome Harder Examples Some Variants of Particle Swarm Optimisation Why Does the PSO Algorithm Need to Be Improved? Inertia and Constriction-Acceleration Techniques for PSOLocal Best ModelProbabilistic AlgorithmsOther Variants of PSO Quantum-Behaved Particle Swarm Optimisation OverviewMotivation: From Classical Dynamics to Quantum MechanicsQuantum Model: Fundamentals of QPSOQPSO AlgorithmSome Essential ApplicationsSome Variants of QPSOSummary Advanced Topics Behaviour Analysis of Individual ParticlesConvergence Analysis of the AlgorithmTime Complexity and Rate of ConvergenceParameter Selection and PerformanceSummaryIndustrial Applications Inverse Problems for Partial Differential EquationsInverse Problems for Non-Linear Dynamical SystemsOptimal Design of Digital FiltersED ProblemsMSAImage SegmentationImage FusionIndexReferences appear at the end of each chapter |
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Description based on publisher supplied metadata and other sources |
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries |
| Link |
Print version: Sun, Jun Particle Swarm Optimisation : Classical and Quantum Perspectives
Baton Rouge : Taylor & Francis Group,c2011 9781439835760
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| Subject |
Mathematical optimization.;Particles (Nuclear physics);Swarm intelligence
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Electronic books
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| Alt Author |
Lai, Choi-Hong
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Wu, Xiao-Jun
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