A new hybrid GA−ACO−PSO algorithm for solving various engineering design problems
DOI10.1080/00207160.2018.1463438zbMath1499.65231OpenAlexW2802952265MaRDI QIDQ5031834
Zubaidah Ismail, Shin Yee Khoo, Bee Chin Ang, Jun Hui Tam, Zhi Chao Ong
Publication date: 16 February 2022
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2018.1463438
genetic algorithmant colony optimizationparticle swarm optimizationhybrid algorithmconstrained engineering problem
Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Combinatorial optimization (90C27)
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- A method combining genetic algorithm with simultaneous perturbation stochastic approximation for linearly constrained stochastic optimization problems
- An efficient meta-heuristic algorithm for grid computing
- Constrained optimization using CODEQ
- An ant colony algorithm aimed at dynamic continuous optimization
- Constraint handling in genetic algorithm integrated structural optimization
- An efficient constraint handling method for genetic algorithms
- Particle swarm and ant colony algorithms hybridized for improved continuous optimization
- Derivative-free filter simulated annealing method for constrained continuous global optimization
- Mixed-variable engineering optimization based on evolutionary and social metaphors
- A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
- Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems
- An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
- An improved ant colony optimization for constrained engineering design problems
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