Effective heuristic for large-scale unrelated parallel machines scheduling problems

Haibo Wang and Bahram Alidaee

Omega, 2019, vol. 83, issue C, 261-274

Abstract: This paper is concerned with non-preemptive scheduling of large-scale unrelated parallel machines (UPM) with the objective of minimizing total weighted completion times (TWCT). We propose a sequential improvement local search algorithm using multiple-jump strategy embedded within Tabu search (TS) components for TWCT, and use a highly efficient data structure to provide a necessary and sufficient condition for local optimality of a solution. We will generate a set of large-scale test problems to evaluate the performance of proposed algorithm in term of scalability, solution quality and efficiency. The non-parametric tests of algorithm components will be used to validate the consistent performance across problem types and problem sizes in the proposed algorithm.

Keywords: Scheduling; Unrelated parallel machines; Large-scale optimization; Tabu search; Total weighted completion times (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.omega.2018.07.005

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