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author:

Cheng, Junheng (Cheng, Junheng.) [1] | Wu, Peng (Wu, Peng.) [2] (Scholars:吴鹏) | Chu, Feng (Chu, Feng.) [3]

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EI Scopus

Abstract:

A recent study proposed an interesting unrelated parallel machines scheduling problem under time-varying electricity cost, which assumes significant importance for industrial enterprises competitiveness improvement and sustainable economic development. The existing solution method is a hybrid genetic algorithm, which cannot ensure the optimality of the solutions. In this work, we provide a mixed-integer linear programming model to exactly solve the problem. The computational results show that the proposed model can obtain optimal solutions efficiently. © 2019 IEEE.

Keyword:

Competition Costs Genetic algorithms Integer programming Scheduling

Community:

  • [ 1 ] [Cheng, Junheng]Fujian Normal University, School of Economics, Fuzhou, China
  • [ 2 ] [Wu, Peng]Fuzhou University, School of Economics management, Fuzhou, China
  • [ 3 ] [Chu, Feng]University of Evry-Val dEssonne, University of Paris-Saclay, Paris, France

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 3

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