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Conference papers
Product/Process Configuration Evolutionary Optimization: A Multiobjective Clustering in Order to Reduce Inconsistencies During Crossover
Abstract : Concurrent configuration of a product and its associated production process is a challenging problem in customer/supplier relations dealing with configurable products. Search for optimized solutions that respect customer’s needs and constraints of the problem in a multiobjective context is a particularly difficult task. Constraints Filtering Based Evolutionary Algorithm (CFB- EA) [1] proposes an original way to integrate constraints satisfaction in optimization thanks to a constraints filtering engine. CFB-EA tries to mix solutions randomly selected in order to improve them but leads to many incompatibility occurrences which are time consuming. We propose in this article a dedicated multiobjective clustering algorithm that reduces incompatibilities occurrences and improve the selection of solutions for crossover operator.
Cited literature [22 references]
https://hal-mines-albi.archives-ouvertes.fr/hal-02444050
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Submitted on : Friday, February 7, 2020 - 4:26:40 PM
Last modification on : Tuesday, July 13, 2021 - 8:20:09 AM
Contributor : Imt Mines Albi Imt Mines Albi Connect in order to contact the contributor
Submitted on : Friday, February 7, 2020 - 4:26:40 PM
Last modification on : Tuesday, July 13, 2021 - 8:20:09 AM
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