NDLI: A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling

Content Provider	IEEE Xplore Digital Library
Author	Su Nguyen Mengjie Zhang Johnston, M.
Copyright Year	2014
Description	Author affiliation: Evolutionary Comput. Res. Group, Victoria Univ. of Wellington, Wellington, New Zealand (Su Nguyen; Mengjie Zhang; Johnston, M.)
Abstract	Order acceptance and scheduling (OAS) is a hard optimisation problem in which both acceptance decisions and scheduling decisions must be considered simultaneously. Designing effective solution methods or heuristics for OAS is not a trivial task, especially to deal with different problem configurations and sizes. This paper proposes a new heuristic framework called forward construction heuristic (FCH) for OAS and develops a new sequential genetic programming (SGPOAS) method for automatic design of FCHs. The key idea of the new GP method is to learn priority rules directly from optimal scheduling decisions at different decision moments and evolve a set of rules for FCHs instead of a single rule as shown in previous studies. The results show that evolved FCHs are significantly better than evolved single priority rules. The evolved FCHs are also competitive with the existing meta-heuristics in the literature and very effective for large problem instances.
Starting Page	1824
Ending Page	1831
File Size	425356
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900347
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimal scheduling Schedules Training Upper bound Job shop scheduling Genetic programming heuristics genetic programming scheduling
Content Type	Text
Resource Type	Article

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