Ant system for job-shop scheduling

Ant system for job-shop scheduling

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Article ID: iaor1995531
Country: Belgium
Volume: 34
Issue: 1
Start Page Number: 39
End Page Number: 53
Publication Date: Jan 1994
Journal: Belgian Journal of Operations Research, Statistics and Computer Science
Authors: , , ,
Keywords: production, heuristics, optimization
Abstract:

The study of natural processes has inspired several heuristic optimization algorithms which have proved to be very effective in combinatorial optimization. The authors show how a new heuristic called ant system, in which the search task is distributed over many simple, loosely interacting agents, can be successfully applied to find good solutions of job-shop scheduling problems.

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