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Particle Swarm Optimization in Stationary and Dynamic ...
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由 C Li 著作2010被引用 12 次 — A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments. IEEE Transactions on. Evolutionary Computation, ...
Particle Swarm Optimization in Stationary and Dynamic ...
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University of Leicester research repository
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Inspired by social behavior of bird flocking or fish schooling, Eberhartand Kennedy first developed the particle swarm optimization (PSO) algorithm in 1995.
Particle swarm optimization in stationary and dynamic ...
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2011年4月1日 — To adapt PSO to dynamic environments, an idea that applies hierarchical clustering techniques to generate multiple populations is proposed.
Particle Swarm Optimization in Stationary and Dynamic ...
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Title, Particle Swarm Optimization in Stationary and Dynamic Environments. Author, Changhe Li. Publisher, University of Leicester, 2011.
Multi-dimensional particle swarm optimization in dynamic ...
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由 S Kiranyaz 著作2011被引用 89 次 — Particle swarm optimization (PSO) was proposed as an optimization technique for static environments; however, many real problems are dynamic, meaning that ...
Multi-dimensional particle swarm optimization in dynamic ...
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Particle swarm optimization (PSO) was proposed as an optimization technique for static environments; however, many real problems are dynamic, meaning that ...
Unified particle swarm optimization in dynamic environments
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2024年10月22日 — A first investigation of the recently proposed Unified Particle Swarm Optimization algorithm on dynamic environments is provided and ...
Cooperative particle swarm optimization in dynamic ...
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由 NJ Unger 著作2013被引用 17 次 — Particle swarm optimization (PSO) is a successful metaheuristic methodology which has been adapted for locating and tracking optima in dynamic environments.
Particle swarm optimization in stationary and dynamic ...
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Changhe Li: Particle swarm optimization in stationary and dynamic environments. University of Leicester, UK, 2011. manage site settings.
A New Particle Swarm Optimization Algorithm for Dynamic ...
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2024年11月21日 — Many real world optimization problems are dynamic in which global optimum and local optima change over time. Particle swarm optimization has ...