Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume 26, Issue 5, Pages 961-973Publisher
SPRINGER
DOI: 10.1007/s10845-013-0837-8
Keywords
Artificial intelligence; Scheduling; Metaheuristic
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This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS) problem. In the literature successful approaches of artificial intelligence techniques such as neural network, genetic algorithm, multi agent systems, simulating annealing, bee colony optimization, ant colony optimization, particle swarm algorithm, etc. are presented as solution approaches to job shop scheduling problem. These studies are surveyed and their successes are listed in this article.
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