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A multi-objective electromagnetism algorithm for a bi-objective hybrid no-wait flowshop scheduling problem

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2014年第9-12期70卷 1591-1601页

作者： Khalili, Majid Islamic Azad Univ Karaj Branch Dept Ind Engn Karaj Iran

This article studies multi-objective hybrid no-wait flowshop scheduling problems to minimize both makespan and total tardiness. This article mathematically formulates the problem using an effective multi-objective mixed integer linear programming models. Since the problem is NP-hard and it is difficult to find an optimal solution in a reasonable computational time, an efficient multi-objective electromagnetism algorithm (MOEA) is presented as the solution procedure. electromagnetism algorithm is known as a flexible and effective population-based algorithm utilizing an attraction/repulsion mechanism to move the particles towards optimality. MOEA is carefully evaluated for its performance against multi-objective immune algorithms and the adaptation of a well-known multi-objective simulated annealing in the relevant literature by means of multi-objective performance measures and statistical tools. The results show that the proposed solution method outperforms the others.

关键词： Hybrid no-wait flowshop scheduling multi-objective electromagnetism algorithm Makespan Total weighted tardiness Mixed integer linear programming model

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multi-objective no-wait hybrid flowshop scheduling problem with transportation times

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INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2012年第2期7卷 147-154页

作者： Khalili, Majid Islamic Azad Univ Dept Ind Engn Karaj Branch POB 31485-313Moazen BlvdRajaee Shahr St Karaj Iran

This paper studies multi-objective no-wait hybrid flowshop scheduling problems to minimise both makespan and total tardiness. Furthermore, we consider transportation times between machines. This transportation time can be either job-dependent or job-independent. We consider that all transportations are job-independent;and transportations between two machines have to be done by one transporter. This paper presents a new multi-objective electromagnetism algorithm (MOEA). electromagnetism algorithm is known as a flexible and effective population-based algorithm utilising an attraction/repulsion mechanism to move the particles towards optimality. The algorithm is carefully evaluated for its performance against two available algorithms by means of multi-objective performance measures and statistical tools. The results show that the proposed solution method outperforms the others.

关键词： no-wait hybrid flowshop scheduling transportation times multi-objective electromagnetism algorithm MOEA makespan total weighted tardiness

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