Review paper
A hybrid genetic algorithm for the job shop scheduling problems
Abstract
The Job Shop Scheduling Problem (JSSP) is one of the most general and difficult of all traditional scheduling problems. The goal of this research is to develop an efficient scheduling method based on genetic algorithm to address JSSP. We design a scheduling method based on Single Genetic Algorithm (SGA) and Parallel Genetic Algorithm (PGA). In the scheduling method, the representation, which encodes the job number, is made to be always feasible,...
Paper Details
Title
A hybrid genetic algorithm for the job shop scheduling problems
Published Date
Dec 1, 2003
Volume
45
Issue
4
Pages
597 - 613
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