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A genetic algorithm for the Flexible Job-shop Scheduling Problem
Computers and Operations Research, 2008In this paper a genetic algorithm for the flexible job-shop scheduling problem is presented. Given are a set of machines and a set of jobs consisting of operations which have to be sequenced in a fixed order. Each operation can be processed by a subset of the machines and its processing time depends on the assigned machine.
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An effective genetic algorithm for the flexible job-shop scheduling problem
Expert Systems With Applications, 2011In this paper, we proposed an effective genetic algorithm for solving the flexible job-shop scheduling problem (FJSP) to minimize makespan time. In the proposed algorithm, Global Selection (GS) and Local Selection (LS) are designed to generate high-quality initial population in the initialization stage.
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An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem
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The generalized flexible job shop scheduling problem
Computers & Industrial Engineering, 2021Abstract In this work, we introduce a generalized flexible job-shop scheduling problem in which, besides the classical constraints of the flexible job shop scheduling problem other hard constraints such as machine capacity, time lags, holding times, and sequence-dependent setup times are taken into account.
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MULTI OBJECTIVE FLEXIBLE JOB SHOP SCHEDULING PROBLEMS
Flexible job shop scheduling problem, is an extension of the classical job shop scheduling problem. In Flexible job shop scheduling problem, there are more than one machine with the same features for the same purpose. The problem can be defined as appointing the jobs to the machines (assignment) and ordering the jobs at each machine (sequencing) to ...
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