Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Use of a self-adaptive penalty approach for engineering optimization problems
Computers in Industry
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Information Processing Letters
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
A novel hybrid immune algorithm for global optimization in design and manufacturing
Robotics and Computer-Integrated Manufacturing
A new design optimization framework based on immune algorithm and Taguchi's method
Computers in Industry
Integration of SQP and PSO for optimal planning of harmonic filters
Expert Systems with Applications: An International Journal
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Cellular particle swarm optimization
Information Sciences: an International Journal
Adaptive fuzzy particle swarm optimization for global optimization of multimodal functions
Information Sciences: an International Journal
Handling boundary constraints for particle swarm optimization in high-dimensional search space
Information Sciences: an International Journal
Swarm algorithms with chaotic jumps applied to noisy optimization problems
Information Sciences: an International Journal
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Global optimization of an optical chaotic system by Chaotic Multi Swarm Particle Swarm Optimization
Expert Systems with Applications: An International Journal
Example-based learning particle swarm optimization for continuous optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
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This paper presents a novel robust hybrid particle swarm optimization (RHPSO) based on piecewise linear chaotic map (PWLCM) and sequential quadratic programming (SQP). The aim of the present research is to develop a new single-objective optimization approach which requires no adjustment of its parameters for both unconstrained and constrained optimization problems. This novel algorithm makes the best of ergodicity of PWLCM to help PSO with the global search while employing the SQP to accelerate the local search. Five unconstrained benchmarks, eighteen constrained benchmarks and three engineering optimization problems from the literature are solved by using the proposed hybrid approach. The simulation results compared with other state-of-art methods demonstrate the effectiveness and robustness of the proposed RHPSO for both unconstrained and constrained problems of different dimensions.