A collection of test problems for constrained global optimization algorithms
A collection of test problems for constrained global optimization algorithms
Journal of Global Optimization
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Dynamic-probabilistic particle swarms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Constrained optimization via particle evolutionary swarm optimization algorithm (PESO)
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
An application of swarm optimization to nonlinear programming
Computers & Mathematics with Applications
Unified particle swarm optimization for solving constrained engineering optimization problems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
An electromagnetism-like method for nonlinearly constrained global optimization
Computers & Mathematics with Applications
An improved vector particle swarm optimization for constrained optimization problems
Information Sciences: an International Journal
A review on particle swarm optimization algorithms and their applications to data clustering
Artificial Intelligence Review
Guided artificial bee colony algorithm
ECC'11 Proceedings of the 5th European conference on European computing conference
Particle swarm optimization for bi-level pricing problems in supply chains
Journal of Global Optimization
A new fitness estimation strategy for particle swarm optimization
Information Sciences: an International Journal
Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
Engineering Applications of Artificial Intelligence
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Particle swarm optimization (PSO) is originally developed as an unconstrained optimization technique, therefore lacks an explicit mechanism for handling constraints. When solving constrained optimization problems (COPs) with PSO, the existing research mainly focuses on how to handle constraints, and the impact of constraints on the inherent search mechanism of PSO has been scarcely explored. Motivated by this fact, in this paper we mainly investigate how to utilize the impact of constraints (or the knowledge about the feasible region) to improve the optimization ability of the particles. Based on these investigations, we present a modified PSO, called self-adaptive velocity particle swarm optimization (SAVPSO), for solving COPs. To handle constraints, in SAVPSO we adopt our recently proposed dynamic-objective constraint-handling method (DOCHM), which is essentially a constituent part of the inherent search mechanism of the integrated SAVPSO, i.e., DOCHM + SAVPSO. The performance of the integrated SAVPSO is tested on a well-known benchmark suite and the experimental results show that appropriately utilizing the knowledge about the feasible region can substantially improve the performance of the underlying algorithm in solving COPs.