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A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems

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TLDR
This paper developed a hybrid genetic algorithm (GA) that uses two vectors to represent solutions and developed an efficient method to find assignable time intervals for the deleted operations based on the concept of earliest and latest event time.
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This article is published in Computers & Operations Research.The article was published on 2008-09-01. It has received 470 citations till now. The article focuses on the topics: Job shop scheduling & Local optimum.

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Journal ArticleDOI

Variable neighbourhood search: methods and applications

TL;DR: Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building heuristics, based upon systematic changes of neighbourhoods both in descent phase, to find a local minimum, and in perturbation phase to emerge from the corresponding valley as mentioned in this paper.
Journal ArticleDOI

Variable neighbourhood search: methods and applications

TL;DR: Variable neighbourhood search is a metaheuristic, or a framework for building heuristics, based upon systematic changes of neighbourhoods both in descent phase, to find a local minimum, and in perturbation phase to emerge from the corresponding valley.
Journal ArticleDOI

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

TL;DR: An effective hybrid algorithm which hybridizes the genetic algorithm (GA) and tabu search (TS) has been proposed for the FJSP with the objective to minimize the makespan and the experimental results demonstrate that the proposed HA has achieved significant improvement for solving FJ SP regardless of the solution accuracy and the computational time.
Journal ArticleDOI

An effective genetic algorithm for the flexible job-shop scheduling problem

TL;DR: An improved chromosome representation is used to conveniently represent a solution of the FJSP, and different strategies for crossover and mutation operator are adopted.
Journal ArticleDOI

A research survey: review of flexible job shop scheduling techniques

TL;DR: The paper aims at presenting the development of flexible JSS and a consolidated survey of various techniques that have been employed since 1990 for problem resolution.
References
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Journal ArticleDOI

Variable neighborhood search

TL;DR: This chapter presents the basic schemes of VNS and some of its extensions, and presents five families of applications in which VNS has proven to be very successful.
Book

Introduction to sequencing and scheduling

A. J. Clewett
TL;DR: In this article, the authors present an introduction to Sequencing and Scheduling in the context of the Operational Research Society (ORS) and the International Journal of Distributed Sensor Networks (ILS).
Journal ArticleDOI

Variable neighborhood search: Principles and applications

TL;DR: In this article, a simple and effective metaheuristic for combinatorial and global optimization, called variable neighborhood search (VNS), is presented, which can easily be implemented using any local search algorithm as a subroutine.
Journal ArticleDOI

Routing and scheduling in a flexible job shop by tabu search

TL;DR: A hierarchical algorithm for the flexible job shop scheduling problem is described, based on the tabu search metaheuristic, which allows to adapt the same basic algorithm to different objective functions.
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