A novel memetic algorithm based on decomposition for multiobjective flexible job shop scheduling problem

DOI10.1155/2017/2857564zbMath1426.90142OpenAlexW2771484548MaRDI QIDQ1992548

Yan Wang, Zhicheng Ji, Chun Wang

Publication date: 5 November 2018

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

Full work available at URL: https://doi.org/10.1155/2017/2857564

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times, A hybrid genetic algorithm based on a two-level hypervolume contribution measure selection strategy for bi-objective flexible job shop problem, An efficient Pareto approach for solving the multi-objective flexible job-shop scheduling problem with regular criteria

Uses Software

• MOEA/D
• HypE

Cites Work

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