## Parallel Grasp With Path-Relinking For Job Shop Scheduling (2002)

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Venue: | Parallel Computing |

Citations: | 34 - 17 self |

### BibTeX

@ARTICLE{Aiex02parallelgrasp,

author = {R. M. Aiex and S. Binato and M. G. C. Resende},

title = {Parallel Grasp With Path-Relinking For Job Shop Scheduling},

journal = {Parallel Computing},

year = {2002},

volume = {29},

pages = {2003}

}

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### Abstract

In the job shop scheduling problem (JSP), a finite set of jobs is processed on a finite set of machines. Each job is required to complete a set of operations in a fixed order. Each operation is processed on a specific machine for a fixed duration. A machine can process no more than one job at a time and once a job initiates processing on a given machine it must complete processing without interruption. A schedule is an assignment of operations to time slots on the machines. The objective of the JSP is to find a schedule that minimizes the maximum completion time, or makespan, of the jobs. In this paper, we describe a parallel greedy randomized adaptive search procedure (GRASP) with path-relinking for the JSP. A GRASP is a metaheuristic for combinatorial optimization. It usually consists of a construction procedure based on a greedy randomized algorithm and of a local search. Path-relinking is an intensification strategy that explores trajectories that connect high quality solutions. Independent and cooperative parallelization strategies are described and implemented. Computational experience on a large set of standard test problems indicates that the parallel GRASP with path-relinking finds goodquality approximate solutions of the job shop scheduling problem.