Suchergebnisse - "random-key genetic algorithm"
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A biased random-key genetic algorithm for wireless backhaul network design
ISSN: 1568-4946, 1872-9681Veröffentlicht: Elsevier B.V 01.08.2015Veröffentlicht in Applied soft computing (01.08.2015)“… it.•We assess the great performance of BRKGA over 30 large real-world instances. This paper describes a biased random-key genetic algorithm for a real-world wireless backhaul network design problem …”
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Biased random-key genetic algorithm for nonlinearly-constrained global optimization
ISBN: 1479904538, 9781479904532ISSN: 1089-778XVeröffentlicht: IEEE 01.06.2013Veröffentlicht in 2013 IEEE Congress on Evolutionary Computation (01.06.2013)“… In this paper, we propose a biased random key genetic algorithm for finding approximate solutions for bound-constrained continuous global optimization problems subject to nonlinear constraints …”
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Fuzzy job shop scheduling problem with availability constraints
ISSN: 0360-8352, 1879-0550Veröffentlicht: New York Elsevier Ltd 01.05.2010Veröffentlicht in Computers & industrial engineering (01.05.2010)“… A random key genetic algorithm (RKGA) is proposed for the problem, in which a novel random key representation, a new decoding strategy incorporating maintenance operation and discrete crossover ( DX) are used …”
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The dial-a-ride problem with private fleet and common carrier
ISSN: 0305-0548, 1873-765XVeröffentlicht: Elsevier Ltd 01.11.2022Veröffentlicht in Computers & operations research (01.11.2022)“… Dial-a-ride problems aim to design the least-costly door-to-door vehicle routes for transporting individual users, subject to several service constraints like time windows, service and route durations, and ride-time …”
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A BRKGA-DE algorithm for parallel-batching scheduling with deterioration and learning effects on parallel machines under preventive maintenance consideration
ISSN: 1012-2443, 1573-7470Veröffentlicht: Cham Springer International Publishing 01.03.2020Veröffentlicht in Annals of mathematics and artificial intelligence (01.03.2020)“… This paper introduces a parallel-batching scheduling problem with deterioration and learning effects on parallel machines, where the actual processing time of a job is subject to the phenomena …”
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