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An Ant Optimization Model for Unrelated Parallel Machine Scheduling with Energy Consumption and Total Tardiness

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  • Peng Liang
  • Hai-dong Yang
  • Guo-sheng Liu
  • Jian-hua Guo

Abstract

This research considers an unrelated parallel machine scheduling problem with energy consumption and total tardiness. This problem is compounded by two challenges: differences of unrelated parallel machines energy consumption and interaction between job assignments and machine state operations. To begin with, we establish a mathematical model for this problem. Then an ant optimization algorithm based on ATC heuristic rule (ATC-ACO) is presented. Furthermore, optimal parameters of proposed algorithm are defined via Taguchi methods for generating test data. Finally, comparative experiments indicate the proposed ATC-ACO algorithm has better performance on minimizing energy consumption as well as total tardiness and the modified ATC heuristic rule is more effectively on reducing energy consumption.

Suggested Citation

  • Peng Liang & Hai-dong Yang & Guo-sheng Liu & Jian-hua Guo, 2015. "An Ant Optimization Model for Unrelated Parallel Machine Scheduling with Energy Consumption and Total Tardiness," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, August.
  • Handle: RePEc:hin:jnlmpe:907034
    DOI: 10.1155/2015/907034
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    Cited by:

    1. Lotfi Hidri & Ali Alqahtani & Achraf Gazdar & Belgacem Ben Youssef, 2021. "Green Scheduling of Identical Parallel Machines with Release Date, Delivery Time and No-Idle Machine Constraints," Sustainability, MDPI, vol. 13(16), pages 1-30, August.

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