GenMin: An enhanced genetic algorithm for global optimization. A new method that employs grammatical evolution and a stopping rule for finding the global minimum of a continuous multidimensional, multimodal function is considered. The genetic algorithm used is a hybrid genetic algorithm in conjunction with a local search procedure. We list results from numerical experiments with a series of test functions and we compare with other established global optimization methods. The accompanying software accepts objective functions coded either in Fortran 77 or in C++.
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References in zbMATH (referenced in 2 articles )
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- Wu, Shinq-Jen; Wu, Cheng-Tao: Computational optimization for S-type biological systems: cockroach genetic algorithm (2013)
- Tsoulos, Ioannis G.; Lagaris, I.E.: Genmin: an enhanced genetic algorithm for global optimization (2008)