An investigation into the performance of particle swarm optimization with various chaotic maps

DOI10.1155/2014/178959zbMath1407.90352OpenAlexW2050923330WikidataQ59063500 ScholiaQ59063500MaRDI QIDQ1717827

Aderemi O. Adewumi, Akugbe Martins Arasomwan

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/178959

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (2)

Comment on ``An investigation into the performance of particle swarm optimization with various chaotic maps ⋮ Convergence analysis of standard particle swarm optimization algorithm and its improvement

Cites Work

• A rank based particle swarm optimization algorithm with dynamic adaptation
• Chaos-enhanced accelerated particle swarm optimization
• A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
• Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Improved particle swarm optimization combined with chaos
• Three new stochastic local search algorithms for continuous optimization problems
• A comparative study of some real-coded genetic algorithms for unconstrained global optimization

This page was built for publication: An investigation into the performance of particle swarm optimization with various chaotic maps