Use of a self-adaptive penalty approach for engineering optimization problems
Computers in Industry
Computers and Operations Research
Constraint handling in genetic algorithms using a gradient-based repair method
Computers and Operations Research
An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
Evolutionary Computation
An application of swarm optimization to nonlinear programming
Computers & Mathematics with Applications
Search biases in constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Expert Systems with Applications: An International Journal
Computers and Operations Research
An improved vector particle swarm optimization for constrained optimization problems
Information Sciences: an International Journal
Hybrid optimization with improved tabu search
Applied Soft Computing
Directed searching optimization algorithm for constrained optimization problems
Expert Systems with Applications: An International Journal
Maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach
Expert Systems with Applications: An International Journal
A poly-hybrid PSO optimization method with intelligent parameter adjustment
Advances in Engineering Software
Generalized reconstruction algorithm for compressed sensing
Computers and Electrical Engineering
Modified harmony search optimization for constrained design problems
Expert Systems with Applications: An International Journal
Querying simplexes in quasi-triangulation
Computer-Aided Design
A nelder-mead PSO based approach to optimal capacitor placement in radial distribution system
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
International Journal of Bio-Inspired Computation
A new fitness estimation strategy for particle swarm optimization
Information Sciences: an International Journal
Hi-index | 12.07 |
Constrained optimization problems are very important in that they frequently appear in the real world. A constrained optimization problem consists of the optimization of a function subject to constraints, in which both the function and constraints may be nonlinear. Constraint handling is one of the major concerns when solving constrained optimization problems by hybrid Nelder-Mead simplex search method and particle swarm optimization, denoted as NM-PSO. This paper proposes embedding constraint handling methods, which include the gradient repair method and constraint fitness priority-based ranking method, in NM-PSO as a special operator to deal with satisfying constraints. Experiments using three benchmark function and three engineering design problems are presented and compared with the best known solutions reported in the literature. The comparison results with other evolutionary optimization methods demonstrate that NM-PSO with the embedded constraint operator proves to be extremely effective and efficient at locating optimal solutions.