Job Shop Scheduling by Local Search

نویسندگان
چکیده

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Job Shop Scheduling by Local Search

We survey solution methods for the job shop scheduling problem with an emphasis on local search. Both deterministic and randomized local search methods as well as the proposed neighborhoods are discussed. We compare the computational performance of the various methods in terms of their eeectiveness and eeciency on a standard set of problem instances. In the job shop scheduling problem we are gi...

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Since their introduction, local search algorithms have consistently represented the state-ofthe-art in solution techniques for the classical job-shop scheduling problem. This is despite the availability of powerful search and inference techniques for scheduling problems developed by the constraint programming community. In this paper, we introduce a simple hybrid algorithm for job-shop scheduli...

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Genetic Local Search for Job Shop Scheduling Problem

The Job Shop Scheduling Problem is a strongly NP-hard problem of combinatorial optimisation and one of the best-known machine scheduling problem. Taboo Search is an effective local search algorithm for the job shop scheduling problem, but the quality of the best solution found depends on the initial solution. To overcome this problem we present a new approach that uses a population of Taboo Sea...

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ژورنال

عنوان ژورنال: INFORMS Journal on Computing

سال: 1996

ISSN: 1091-9856,1526-5528

DOI: 10.1287/ijoc.8.3.302