A genetic algorithm-based approach for single-machine scheduling with learning effect and release time

DOI10.1155/2014/249493zbMath1407.90160OpenAlexW2083550095WikidataQ59065051 ScholiaQ59065051MaRDI QIDQ1717946

Chih-Chieh Chang, Der-Chiang Li, Peng-Hsiang Hsu

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/249493

Mathematics Subject Classification ID

Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

An improved genetic algorithm for single-machine inverse scheduling problem ⋮ A single-machine two-agent scheduling problem by a branch-and-bound and three simulated annealing algorithms

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