دورية أكاديمية

Genetic algorithms for the no-wait flowshop sequencing problem with time restrictions.

التفاصيل البيبلوغرافية
العنوان: Genetic algorithms for the no-wait flowshop sequencing problem with time restrictions.
المؤلفون: FranÇa, P. M., Tin, G., Buriol, L. S.
المصدر: International Journal of Production Research; 3/1/2006, Vol. 44 Issue 5, p939-957, 19p, 3 Diagrams, 9 Charts, 2 Graphs
مصطلحات موضوعية: COMBINATORICS, MATHEMATICAL optimization, COMPUTATIONAL mathematics, PARALLEL processing, OPERATIONS research, TERNARY system, PARALLEL logic programming, HEURISTIC programming, SUPERCOMPUTERS, COMPUTER science research, RESEARCH methodology
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:00207543
DOI:10.1080/00207540500282914