Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems

In this paper, a novel genetic algorithm is developed by generating artificial chromosomes with probability control to solve the machine scheduling problems. Generating artificial chromosomes for Genetic Algorithm (ACGA) is closely related to Evolutionary Algorithms Based on Probabilistic Models (EA...

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Bibliographic Details
Published in:	Annals of operations research Vol. 180; no. 1; pp. 197 - 211
Main Authors:	Chang, Pei-Chann, Chen, Shih-Hsin, Fan, Chin-Yuan, Mani, V.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.11.2010 Springer Science + Business Media Springer Springer Nature B.V
Subjects:	Algorithms Analysis Artificial chromosomes Business and Management Combinatorics Electromagnetism Evaporation Genes Genetic algorithms Genetics Heuristic Job shops Literature reviews Mathematical models Operations research Operations Research/Decision Theory Optimization Permutations Production scheduling Scheduling Studies Theory of Computation Traveling salesman problem Iran Total deviations Flowshop machine scheduling Evolutionary algorithm with probabilistic models Artificial chromosomes Single machine scheduling
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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