Jan 25, 2007 · In this study, we investigated the influence of genetic drift on the performance of a genetic algorithm on the multiplicative landscape.

Abstract In this study, we investigated the influence of ge- netic drift on the performance of a genetic algorithm on the multiplicative landscape.

In this study, we investigated the influence of genetic drift on the performance of a genetic algorithm on the multiplicative landscape.

In this study, we investigated the influence of genetic drift on the performance of a genetic algorithm on the multiplicative landscape.

Abstract. We have studied effects of stochastic fluctuation in the process of GA evolution of OneMax problem. We applied the Wright-Fisher model and the ...

This volume collects articles in pure and applied analysis, partial differential equations, geometric analysis and stochastic and infinite-dimensional analysis.

This study investigates the distribution of the first order schema frequency in the evolution process of Genetic Algorithm and investigates the convergence ...

Stochastic Analysis of Schema Distribution in a Multiplicative Landscape Reviewed. Hiroshi Furutani, Susumu Katayama, Makoto Sakamoto, and Takao Ito.

Sakamoto, M. Ito (2007),. Stochastic Analysis of Schema Distribution in a. Multiplicative Landscape, Artificial Life and Robotics. 11:101–104 ...

This study considered the roles of mutation by using the stochastic schema theory within the framework of the Wright-Fisher model of Markov processes.