A new energy-aware flexible job shop scheduling method using modified biogeography-based optimization

DOI10.1155/2017/7249876zbMath1426.90147OpenAlexW2748298211MaRDI QIDQ1993083

Ziwei Dai, Rongyu Liu, Yan Wang, Wen-Yu Zhang, Shuai Zhang, Hua Zhang

Publication date: 5 November 2018

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

Full work available at URL: https://doi.org/10.1155/2017/7249876

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items

Energy cost efficient scheduling in flexible job-shop manufacturing systems

Cites Work

• An analysis of the equilibrium of migration models for biogeography-based optimization
• Variable neighborhood search
• Pareto-optimality approach for flexible job-shop scheduling problems: Hybridization of evolutionary algorithms and fuzzy logic
• Routing and scheduling in a flexible job shop by tabu search
• A Fast Taboo Search Algorithm for the Job Shop Problem
• Operational methods for minimization of energy consumption of manufacturing equipment
• Machine Sequencing Via Disjunctive Graphs: An Implicit Enumeration Algorithm