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Multi-Objective Optimization and Multi-Attribute Decision Making for a Novel Batch Scheduling Problem Based on Mould Capabilities
School of Management, Hefei University of Technology, Department of Information Management and Information Systems, School of Management, Hefei University of Technology.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
School of Management, Hefei University of Technology, Department of Information Management and Information Systems, School of Management, Hefei University of Technology.
School of Management, Hefei University of Technology, Department of Information Management and Information Systems, School of Management, Hefei University of Technology.
2015 (English)In: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday / [ed] Athanasios Migdalas; Athanasia Karakitsiou, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 275-297Conference paper, Published paper (Refereed)
Abstract [en]

This chapter investigates a novel multi-objective model of a batch scheduling problem with constraint of the mould capability, and the objective is to minimize both the total completion time of the jobs and the total cost of the moulds. It is extremely difficult to obtain an optimal solution to this type of complex problems in a reasonable computational time. In view of this, this chapter presents a new multi-objective algorithm based on the features of Gravitational Search Algorithm to find Pareto optimal solutions for the given problem. In the proposed algorithm a novel Pareto frontier adjustment strategy is designed and proven to improve the convergence of solutions and increase convergence speed. We examined a set of test problems to validate the high efficiency of the proposed multi-objective gravitational search algorithm based on a variety of metrics. Finally, a multi-attribute decision making method is employed to determine the trade-off solutions derived from the Pareto optimal set and thus solve the problem optimally.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015. p. 275-297
Series
Springer Proceedings in Mathematics and Statistics, ISSN 2194-1017 ; 130
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-32521DOI: 10.1007/978-3-319-18567-5_14ISI: 000380540400014Scopus ID: 2-s2.0-84947427236Local ID: 70b7c4aa-0bfa-4138-8f15-ebf495d87b5fISBN: 978-3-319-18566-8 (print)ISBN: 978-3-319-18567-5 (electronic)OAI: oai:DiVA.org:ltu-32521DiVA, id: diva2:1005755
Conference
Conference on Optimization Control and Applications in the Information Age : Organized in honor of the 60th birthday of Professor Panos M. Pardalos 15/06/2014 - 20/06/2014
Note
Validerad; 2016; Nivå 1; 20150818 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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