A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems

DOI10.1080/00207721.2011.605966zbMath1307.90210OpenAlexW2052420727MaRDI QIDQ5497415

Shengxiang Yang, Dingwei Wang, Hongfeng Wang, Wai-Hung Ip

Publication date: 4 February 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://bura.brunel.ac.uk/handle/2438/6604

zbMATH Keywords

local searchspeciationmemetic algorithmparticle swarm optimisationmemetic computingdynamic multi-modal optimisation problem

Mathematics Subject Classification ID

Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Approximation methods and heuristics in mathematical programming (90C59) Dynamic programming (90C39)

Related Items (3)

Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm ⋮ Global path planning of mobile robots using a memetic algorithm ⋮ Global memory schemes for dynamic optimization

Cites Work

• A particle swarm optimization based memetic algorithm for dynamic optimization problems
• Evolutionary computation in dynamic and uncertain environments.
• Multi-strategy ensemble particle swarm optimization for dynamic optimization
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• A hybrid algorithm for identifying global and local minima when optimizing functions with many minima.
• Locating multiple optima using particle swarm optimization
• Memetic particle swarm optimization
• An intelligent genetic algorithm designed for global optimization of multi-minima functions
• A memetic algorithm for bi-objective integrated forward/reverse logistics network design
• Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation

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