Genetic and Nelder–Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions
- 16 July 2003
- journal article
- Published by Elsevier BV in European Journal of Operational Research
- Vol. 148 (2), 335-348
- https://doi.org/10.1016/s0377-2217(02)00401-0
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- An optimization method fitted for model inversion in non destructive control by eddy currentsThe European Physical Journal Applied Physics, 2000
- Enhanced simulated annealing for globally minimizing functions of many-continuous variablesACM Transactions on Mathematical Software, 1997
- The continuous reactive tabu search: Blending combinatorial optimization and stochastic search for global optimizationAnnals of Operations Research, 1996
- Hybrid methods using genetic algorithms for global optimizationIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996
- Taboo Search: An Approach to the Multiple Minima ProblemScience, 1995
- The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA)Evolutionary Computation, 1993
- Evolution in Time and Space – The Parallel Genetic AlgorithmPublished by Elsevier BV ,1991
- Optimization of functions with many minimaIEEE Transactions on Systems, Man, and Cybernetics, 1991
- A Simplex Method for Function MinimizationThe Computer Journal, 1965
- Outline for a Logical Theory of Adaptive SystemsJournal of the ACM, 1962