Focused simulated annealing search: An application to job shop scheduling
نویسندگان
چکیده
منابع مشابه
Focused Simulated Annealing Search: an Application to Job-shop Scheduling
This paper presents a simulated annealing search procedure developed to solve job shop scheduling problems simultaneously subject to tardiness and inventory costs. The procedure is shown to signi cantly increase schedule quality compared to multiple combinations of dispatch rules and release policies, though at the expense of intense computational e orts. A meta-heuristic procedure is developed...
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This paper describes two parallel simulated annealing algorithms for the job shop scheduling problem with the sum of job completion times criterion. Some properties of the problem associated with the block theory have been presented and discussed. These properties allow us to introduce the effective neighborhood based on the adjacent swap type moves. In this paper, an original method for parall...
متن کاملIntegrating Genetic Algorithm, Tabu Search and Simulated Annealing For Job Shop Scheduling Proble
Job Shop Scheduling Problem (JSSP) is an optimization problem in which ideal jobs are assigned to resources at particular times. In recent years many attempts have been made at the solution of JSSP using a various range of tools and techniques such as Branch and Bound and Heuristics algorithms. This paper proposed a new algorithm based on Genetic Algorithm (GA), Tabu Search (TS) and Simulated A...
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The Job-Shop Scheduling Problem (JSSP) is one of the most difficult NP-hard combinatorial optimization problems. This paper proposes a new method for solving JSSPs based on simulated annealing (SA), a stochastic local search, enhanced by shifting bottleneck (SB), a problem specific deterministic local search. In our method new schedules are generated by a variant of Giffler and Thompson’s activ...
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ژورنال
عنوان ژورنال: Annals of Operations Research
سال: 1996
ISSN: 0254-5330,1572-9338
DOI: 10.1007/bf02601640