Gravitational search algorithm combined with chaos for unconstrained numerical optimization

DOI10.1016/j.amc.2013.12.175zbMath1410.90261OpenAlexW2108826574MaRDI QIDQ1644504

Catherine Vairappan, Shangce Gao, Yan Wang, Zheng Tang, Qi Ping Cao

Publication date: 21 June 2018

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.175

zbMATH Keywords

performancechaoslocal searchgravitational search algorithmparticle swarm optimization

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) General biology and biomathematics (92B05)

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Uses Software

• BGSA
• GSA

Cites Work

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• BGSA: Binary gravitational search algorithm
• Chaos embedded particle swarm optimization algorithms
• Chaotic harmony search algorithms
• A gravitational approach to edge detection based on triangular norms
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisation
• Application of chaos in simulated annealing
• An improved particle swarm optimization algorithm combined with piecewise linear chaotic map
• Existence of positive solutions for second order functional differential equations
• GSA: A gravitational search algorithm
• A dynamic inertia weight particle swarm optimization algorithm
• Improved particle swarm optimization combined with chaos
• Controlling chaos
• OPTIMIZING COMPLEX FUNCTIONS BY CHAOS SEARCH
• Simple mathematical models with very complicated dynamics

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