Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Evolutionary algorithms for constrained engineering problems
Computers and Industrial Engineering
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Compaction of Symbolic Layout Using Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Genetic AlgorithmsNumerical Optimizationand Constraints
Proceedings of the 6th International Conference on Genetic Algorithms
Numerical Comparison of Some Penalty-Based Constraint Handling Techniques in Genetic Algorithms
Journal of Global Optimization
Computers and Operations Research
WSC '04 Proceedings of the 36th conference on Winter simulation
A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem
Computers and Operations Research
Quasi-random initial population for genetic algorithms
Computers & Mathematics with Applications
A multi-objective tabu search algorithm for constrained optimisation problems
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
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Most real world search and optimization problems naturally involve multiple responses. In this paper we investigate a multiple response problem within desirability function framework and try to determine values of input variables that achieve a target value for each response through three meta-heuristic algorithms such as genetic algorithm (GA), simulated annealing (SA) and tabu search (TS). Each algorithm has some parameters that need to be accurately calibrated to ensure the best performance. For this purpose, a robust calibration is applied to the parameters by means of Taguchi method. The computational results of these three algorithms are compared against each others. The superior performance of SA over TS and TS over GA is inferred from the obtained results in various situations.