A collection of test problems for constrained global optimization algorithms
A collection of test problems for constrained global optimization algorithms
Penalty guided genetic search for reliability design optimization
Computers and Industrial Engineering
Interactive multiobjective optimization system WWW-NIMBUS on the internet
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, GE
Genetic Optimization Using A Penalty Function
Proceedings of the 5th International Conference on Genetic Algorithms
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Genetic AlgorithmsNumerical Optimizationand Constraints
Proceedings of the 6th International Conference on Genetic Algorithms
A Segregated Genetic Algorithm for Constrained Structural Optimization
Proceedings of the 6th International Conference on Genetic Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Evolutionary programming techniques for constrained optimizationproblems
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Numerical solution to the optimal feedback control of continuous casting process
Journal of Global Optimization
IND-NIMBUS software for multiobjective optimization
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
A robust parameter design for multi-response problems
Journal of Computational and Applied Mathematics
Quasi-random initial population for genetic algorithms
Computers & Mathematics with Applications
An electromagnetism-like method for nonlinearly constrained global optimization
Computers & Mathematics with Applications
Search space filling and shrinking based to solve constraint optimization problems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Useful infeasible solutions in engineering optimization with evolutionary algorithms
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Region-Reduction Division Criteria-based hybrid constrained optimisation
International Journal of Artificial Intelligence and Soft Computing
A penalty function-based differential evolution algorithm for constrained global optimization
Computational Optimization and Applications
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
We study five penalty function-based constraint handling techniques to be used with genetic algorithms in global optimization. Three of them, the method of superiority of feasible points, the method of parameter free penalties and the method of adaptive penalties have already been considered in the literature. In addition, we introduce two new modifications of these methods. We compare all the five methods numerically in 33 test problems and report and analyze the results obtained in terms of accuracy, efficiency and reliability. The method of adaptive penalties turned out to be most efficient while the method of parameter free penalties was the most reliable.