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(PDF) Dynamic Search With Charged Swarms.
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Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population diversity and good ...
Dynamic Search with Charged Swarms
UCL - London's Global University
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UCL - London's Global University
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Two novel particle swarm optimization (PSO) algorithms are used to track and optimize a 3- dimensional parabolic benchmark function.
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Dynamic search with charged swarms - ACM Digital Library
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由 TM Blackwell 著作2002被引用 306 次 — The new algorithms are based on an analogy of electrostatic energy with charged particles. For comparison, the same experiment is performed with a conventional ...
Swarms in Dynamic Environments
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由 TM Blackwell 著作2003被引用 113 次 — Abstract. Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population.
Dynamic multi-objective optimization using charged vector ...
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This paper describes an attraction based particle swarm optimization (PSO) algorithm with sphere search for such problems. A dynamic constrained multi-objective ...
Heterogeneous particle swarms in dynamic environments
IEEE Xplore
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由 BJ Leonard 著作2011被引用 24 次 — This paper investigates the performance of a dynamic heterogeneous particle swarm optimizer (dHPSO) on dynamic unconstrained optimization problems.
An Extension of Particle Swarm Optimization to Identify ...
International Institute of Applied Informatics
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International Institute of Applied Informatics
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由 S Raharja 著作2023被引用 1 次 — An Extension of Particle Swarm Optimization to Identify Multiple Peaks using Re-diversification in Static and Dynamic Environments. Stephen Raharja Waseda ...
Tracking and optimizing dynamic systems with particle ...
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Three kinds of dynamic systems are defined for the purposes of this paper and one of them is chosen for preliminary analysis using the particle swarm on the ...
Quantum firefly swarms for multimodal dynamic ...
ScienceDirect.com
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ScienceDirect.com
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由 FB Ozsoydan 著作2019被引用 64 次 — The present work extends Firefly Algorithm (FA) as a multi-population based algorithm to solve multi-modal dynamic optimization problems.
A Hierarchical Particle Swarm Optimizer for Dynamic ...
Springer
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Springer
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由 S Janson 著作2004被引用 138 次 — We compare dynamic variants of standard PSO and Hierarchical PSO (H-PSO) on different dynamic benchmark functions.