Evolutionary Hybrid Particle Swarm Optimization Algorithm for Solving NP-Hard No-Wait Flow Shop Scheduling Problems
نویسندگان
چکیده
منابع مشابه
Evolutionary Hybrid Particle Swarm Optimization Algorithm for Solving NP-Hard No-Wait Flow Shop Scheduling Problems
The no-wait flow shop is a flowshop in which the scheduling of jobs is continuous and simultaneous through all machines without waiting for any consecutive machines. The scheduling of a no-wait flow shop requires finding an appropriate sequence of jobs for scheduling, which in turn reduces total processing time. The classical brute force method for finding the probabilities of scheduling for im...
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The flow shop scheduling with the no-wait constraint is a typical NP-hard combinatorial optimization problem and represents an important area in production scheduling. In this paper, a class of particle swarm optimization (PSO) approach with simulated annealing (SA) and hypothesis test (HT), namely PSOSAHT is proposed for the stochastic flow shop scheduling with no-wait constraint to minimize t...
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In this paper, a two-phase hybrid particle swarm optimization algorithm (PRHPSO) is proposed for the permutation flow-shop scheduling problem (PFSP) with the minimizing makespan measure. The smallest position value (SPV) rule is used for encoding the particles that enable PSO for suitable PFSP, and the NEH and Tabu search algorithms are used for initializing the particles. In the first phase, t...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2017
ISSN: 1999-4893
DOI: 10.3390/a10040121