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Clonal selection algorithms for optimal product line design: a comparative study

Pantourakis Michail, Tsafarakis Stelios, Zervoudakis Konstantinos, Altsitsiadis Efthymios, Andronikidis Andreas, Ntamadaki Vasiliki

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URIhttp://purl.tuc.gr/dl/dias/94276C09-A3BF-4D9E-95E7-55800F26067F-
Identifierhttps://doi.org/10.1016/j.ejor.2021.07.006-
Identifierhttps://www.sciencedirect.com/science/article/pii/S0377221721006019-
Languageen-
Extent11 pagesen
TitleClonal selection algorithms for optimal product line design: a comparative studyen
CreatorPantourakis Michailen
CreatorΠαντουρακης Μιχαηλel
CreatorTsafarakis Steliosen
CreatorΤσαφαρακης Στελιοςel
CreatorZervoudakis Konstantinosen
CreatorΖερβουδακης Κωνσταντινοςel
CreatorAltsitsiadis Efthymiosen
CreatorAndronikidis Andreasen
CreatorNtamadaki Vasilikien
CreatorΝταμαδακη Βασιλικηel
PublisherElsevieren
Content SummaryProduct design constitutes a critical process for a firm to stay competitive. Whilst the biologically inspired Clonal Selection Algorithms (CSA) have been applied to efficiently solve several combinatorial optimization problems, they have not yet been tested for optimal product lines. By adopting a previous comparative analysis with real and simulated conjoint data, we adapt and compare in this context 23 CSA variants. Our comparison demonstrates the efficiency of specific cloning, selection and somatic hypermutation operators against other optimization algorithms, such as Simulated Annealing and Genetic Algorithm. To further investigate the robustness of each method to combinatorial size, we extend the previous paradigm to larger product lines and different optimization objectives. The consequent performance variation elucidates how each operator shifts the search focus of CSAs. Collectively, our study demonstrates the importance of a fine balance between global and local search in such combinatorial problems, and the ability of CSAs to achieve it.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2024-01-05-
Date of Publication2022-
SubjectOr in marketingen
SubjectClonal selection algorithmen
SubjectCombinatorial optimizationen
SubjectProduct line designen
Bibliographic CitationM. Pantourakis, S. Tsafarakis, K. Zervoudakis, E. Altsitsiadis, A. Andronikidis, and V. Ntamadaki, “Clonal selection algorithms for optimal product line design: a comparative study,” Eur. J. Oper. Res., vol. 298, no. 2, pp. 585-595, Apr. 2022, doi: 10.1016/j.ejor.2021.07.006.en

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