Now showing items 1-2 of 2
Genetic algorithm and neural network hybrid approach for job-shop scheduling
(ACTA Press, 1998)
This paper proposes a genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) hybrid approach for job-shop scheduling problems. In the hybrid approach, GA is used to iterate for searching optimal ...
Evolutionary algorithms in dynamic environments
(Northeastern University Press， China, 2007-02)
Evolutionary algorithms (EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the course of computation. However, the environments ...