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EngineeringComputer Science

A Hybrid Genetic Algorithm and Tabu Search for Multi-objective Dynamic JSP

Xinyu Li, Liang Gao

2020Engineering Applications of Computational Methods

DOI: 10.1007/978-3-662-55305-3_18

tlooto Summary

This chapter, a rescheduling method based on the hybrid genetic algorithm and tabu search is introduced to address the dynamic job shop scheduling problem with random job arrivals and machine breakdowns.

Abstract

Abstract is not available.

Citation format

LI, Xinyu; GAO, Liang. A hybrid genetic algorithm and tabu search for multi-objective dynamic JSP. Engineering Applications of Computational Methods, 2020.