Use of a self-adaptive penalty approach for engineering optimization problems
Computers in Industry
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
Differential evolution with dynamic stochastic selection for constrained optimization
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A Novel Particle Swarm Optimization for Constrained Engineering Optimization Problems
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
The hyperspherical acceleration effect particle swarm optimizer
Applied Soft Computing
A New Vector Particle Swarm Optimization for Constrained Optimization Problems
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 01
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
An improved vector particle swarm optimization for constrained optimization problems
Information Sciences: an International Journal
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Society and civilization: An optimization algorithm based on the simulation of social behavior
IEEE Transactions on Evolutionary Computation
A simple multimembered evolution strategy to solve constrained optimization problems
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constrained optimisation and robust function optimisation with EIWO
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Accelerating Gaussian bare-bones differential evolution using neighbourhood mutation
International Journal of Computing Science and Mathematics
An improved diversity-guided particle swarm optimisation for numerical optimisation
International Journal of Computing Science and Mathematics
Bio-inspired optimisation for economic load dispatch: a review
International Journal of Bio-Inspired Computation
Hi-index | 0.00 |
Most of the real world science and engineering optimisation problems are non-linear and constrained. This paper presents a hybrid algorithm by integrating particle swarm optimisation with stochastic ranking for solving standard constrained numerical and engineering benchmark problems. Stochastic ranking technique that uses bubble sort mechanism for ranking the solutions and maintains a balance between the objective and the penalty function. The faster convergence of particle swarm optimisation and the ranking technique are the major motivations for hybridising these two concepts and to propose the stochastic ranking particle swarm optimisation (SRPSO) technique. In this paper, SRPSO is used to optimise 15 continuous constrained single objective benchmark functions and five well-studied engineering design problems. The performance of the proposed algorithm is evaluated based on the statistical parameters such mean, median, best, worst values and standard deviations. The SRPSO algorithm is compared with six recent algorithms for function optimisation. The simulation results indicate that the SRPSO algorithm performs much better while solving all the five standard engineering design problems where as it gives a competitive result for constrained numerical benchmark functions.