A population-based algorithm-generator for real-parameter optimization
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Comparison of cauchy EDA and G3PCX algorithms on the BBOB noiseless testbed
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Comparison of G3PCX and Rosenbrock's algorithms on the BBOB noiseless testbed
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Experimental comparison of six population-based algorithms for continuous black box optimization
Evolutionary Computation
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The generalized generation gap (G3) model of an evolutionary algorithm equipped with the parent centric crossover (PCX) is tested on the BBOB 2009 benchmark testbed. To improve its behavior on multimodal functions a multistart strategy is used. The algorithm shows promising results especially for the group of 'moderate' functions, but fails systematically on the group of 'multimodal' functions.