Simulated annealing: theory and applications
Simulated annealing: theory and applications
An algorithm for solving the job-shop problem
Management Science
Computers and Operations Research
Exact and Approximate Algorithms for Scheduling Nonidentical Processors
Journal of the ACM (JACM)
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
Algorithms for Scheduling Tasks on Unrelated Processors
Journal of the ACM (JACM)
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Autonomous Agents and Multi-Agent Systems
Computers and Industrial Engineering
A meta-heuristic approach to solve a JIT scheduling problem in hybrid flow shop
Engineering Applications of Artificial Intelligence
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This paper proposes to solve the generalized job-shop scheduling problem by using several original static and dynamic heuristics relying on the machines' potential load. We consider a generalized job-shop problem with unrelated parallel machines which can process the operations of the different jobs and, moreover, any precedence constraints between the operations are allowed. The objective is to minimize the completion date of all the jobs (makespan). This problem is NP-hard. Experimental results using various important randomly generated benchmarks are satisfactory and promising.