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Tabu search and iterated greedy for a flow shop scheduling ..:

, In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,

de Freitas Araujo, Matheus ; Arroyo, José Elias C. ; Fialho, Lucas Batista - p. 1661-1668 , 2020

Link: https://dl.acm.org/doi/10.1145/3377929.3398117

RT 
T1 <cTitle>Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Tabu search and iterated greedy for a flow shop scheduling problem with worker assignment</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3398117&Exemplar=1&LAN=DE
				
A1 de Freitas Araujo, Matheus
A1 Arroyo, José Elias C.
A1 Fialho, Lucas Batista
PB ACM
YR 2020
K1 combinatorial optimization
K1 flow shop scheduling
K1 meta-heuristics
K1 worker assignment
K1 Computing methodologies
K1 Artificial intelligence
K1 Planning and scheduling
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Scheduling algorithms
K1 Search methodologies
K1 Heuristic function construction
K1 Online algorithms
K1 Online learning algorithms
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
SP 1661
OP 1668
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377929.3398117
DO https://dl.acm.org/doi/10.1145/3377929.3398117
SF ELIB - SuUB Bremen

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