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Genetic algorithms for the no-wait flowshop sequencing problem with time restrictions
This article deals with the no-wait flowshop problem with sequence dependent set-ups and ready times solved by an evolutionary approach. The hybrid genetic algorithm presented here addresses a new hierarchically organized complete ternary tree to represent the population that put together with a rec...
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Published in: | International journal of production research 2006-03, Vol.44 (5), p.939-957 |
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container_issue | 5 |
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container_title | International journal of production research |
container_volume | 44 |
creator | FranÇa, P. M. Tin, G. Buriol, L. S. |
description | This article deals with the no-wait flowshop problem with sequence dependent set-ups and ready times solved by an evolutionary approach. The hybrid genetic algorithm presented here addresses a new hierarchically organized complete ternary tree to represent the population that put together with a recombination plan resembles a parallel processing scheme for solving combinatorial optimization problems. Embedded in the hybrid approach, a novel recursive local search scheme, recursive arc insertion (RAI), is also proposed. The effectiveness of the local search phase is crucial given that it is responsible for about 90% of the total processing time of the algorithm. Instances with known optimal solution are used to test the new algorithm and compare it to a previously proposed heuristic approach. |
doi_str_mv | 10.1080/00207540500282914 |
format | article |
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M. ; Tin, G. ; Buriol, L. S.</creator><creatorcontrib>FranÇa, P. M. ; Tin, G. ; Buriol, L. S.</creatorcontrib><description>This article deals with the no-wait flowshop problem with sequence dependent set-ups and ready times solved by an evolutionary approach. The hybrid genetic algorithm presented here addresses a new hierarchically organized complete ternary tree to represent the population that put together with a recombination plan resembles a parallel processing scheme for solving combinatorial optimization problems. Embedded in the hybrid approach, a novel recursive local search scheme, recursive arc insertion (RAI), is also proposed. The effectiveness of the local search phase is crucial given that it is responsible for about 90% of the total processing time of the algorithm. 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Instances with known optimal solution are used to test the new algorithm and compare it to a previously proposed heuristic approach.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Flows in networks. Combinatorial problems</subject><subject>Flowshop problem</subject><subject>Genetic algorithms</subject><subject>Heuristics</subject><subject>Machine scheduling</subject><subject>Memetic algorithms</subject><subject>No-wait flowshop</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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subjects | Applied sciences Exact sciences and technology Flows in networks. Combinatorial problems Flowshop problem Genetic algorithms Heuristics Machine scheduling Memetic algorithms No-wait flowshop Operational research and scientific management Operational research. Management science |
title | Genetic algorithms for the no-wait flowshop sequencing problem with time restrictions |
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