Title :
Genetic algorithm for logistics scheduling problem
Author :
Wen, Chen ; Eberhart, Russell C.
Author_Institution :
Purdue Sch. of Eng. & Technol., Indiana Univ., Indianapolis, IN, USA
Abstract :
This paper introduces a method to solve logistics scheduling problems with constraints by using genetic algorithms (GAs). The GA is reviewed first. Then the scheduling problem is introduced. The methods and mathematical model for this problem are presented. Four methods for crossover and two methods for mutation are used. Finally, the scheduling results are given
Keywords :
genetic algorithms; goods distribution; scheduling; transportation; cargo delivery; constraints; crossover; fitness function; genetic algorithm; logistics scheduling problem; mathematical model; mutation; transportation; Biological cells; Costs; Genetic algorithms; Genetic engineering; Genetic mutations; History; Logistics; Mathematical model; Paper technology; Processor scheduling;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006287
