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12-01-2018 | Methodologies and Application | Issue 11/2019

Soft Computing 11/2019

Iterated population-based VND algorithms for single-machine scheduling with sequence-dependent setup times

Journal:
Soft Computing > Issue 11/2019
Author:
Chun-Lung Chen
Important notes
Communicated by V. Loia.

Abstract

This paper investigates the problem of single-machine scheduling with sequence-dependent setup times for minimizing the total weighted tardiness of jobs. Because the problem is non-deterministic polynomial-time hard (NP-hard), an iterated population-based variable neighborhood descent (IPBVND) search algorithm is proposed as the solution. The proposed algorithm first generates the initial population. Then, a novel member updated method is proposed to generate a solution for the IPBVND algorithm at each iteration. Finally, a VND algorithm with a series of block-based insertion neighborhood structures and a greedy local search are presented to improve the solution quality. The computational experiments were made on a set of benchmark problems, and the results demonstrated the effectiveness of the proposed algorithm.

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