INTELLIGENT OPTIMISATION TECHNIQUES FOR SCHEDULING PROBLEM

Genetics algorithms have been designed as general purpose optimisation methods. In this paper presents a general purpose schedule optimiser for manufacturing shop scheduling using GAs. Then, the ‘uniform order-based’ crossover operator and a novel general effect of mutation rate on minimised objective value are presented.

کلیدواژه ها:

Job shop scheduling ، Genetic algorithms ، Flow shop scheduling ، Heuristic algorithms ، Brunch and bound programming ، dynamic programming