Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering

Schellenberg, S and Li, X 2017, 'Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering', in Wei Peng, Damminda Alahakoon, Xiaodong Li (ed.) 30th Australasian Joint Conference Melbourne, VIC, Australia, August 1920, 2017 Proceedings, Melbourne, Australia, 19 - 20 August 2017, pp. 221-233.


Document type: Conference Paper
Collection: Conference Papers

Title Preliminary Study on Solving Coal Processing and Blending Problems Using Lexicographic Ordering
Author(s) Schellenberg, S
Li, X
Year 2017
Conference name AI 2017: Advanced in Artificial Intelligence 30th Australiasian Conference on Artificial Intelligence (AI'17)
Conference location Melbourne, Australia
Conference dates 19 - 20 August 2017
Proceedings title 30th Australasian Joint Conference Melbourne, VIC, Australia, August 1920, 2017 Proceedings
Editor(s) Wei Peng, Damminda Alahakoon, Xiaodong Li
Publisher Springer
Place of publication Berlin, Germany
Start page 221
End page 233
Total pages 13
Abstract Despite its known shortcomings, penalty function approaches are among the most commonly used constraint handling methods in the field of evolutionary computation. In this paper, we argue that some of the techniques used to alleviate these shortfalls (namely scaling and normalisation) cannot avoid undesired search biases. Instead, we introduce the notion of desired search biases to effectively solve problems with a large number of competing constraints. The methods using this notion are based on dominance comparison by lexicographic ordering of objectives. For the real-world problem we use, two of the methods outperform the best performing penalty function approach by finding feasible solutions repeatedly.
Subjects Optimisation
Neural, Evolutionary and Fuzzy Computation
Keyword(s) evolutionary algorithm
constraints
lexicographic ordering
Copyright notice © Springer International Publishing AG 2017
ISBN 9783319630045
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