Clonal selection algorithms for optimal product line design: A comparative study
•23 Clonal selection algorithm (CSA) variants for product line design (PLD) are proposed.•CSAs’ performance is assessed using real and simulated data.•CSAs perform on different objectives.•The efficiency of CSAs against the state-of-the-art solvers is presented.•CSAs constitute an attractive alterna...
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| Published in | European journal of operational research Vol. 298; no. 2; pp. 585 - 595 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
16.04.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0377-2217 1872-6860 |
| DOI | 10.1016/j.ejor.2021.07.006 |
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| Abstract | •23 Clonal selection algorithm (CSA) variants for product line design (PLD) are proposed.•CSAs’ performance is assessed using real and simulated data.•CSAs perform on different objectives.•The efficiency of CSAs against the state-of-the-art solvers is presented.•CSAs constitute an attractive alternative approach to the PLD problem.
Product 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. |
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| AbstractList | •23 Clonal selection algorithm (CSA) variants for product line design (PLD) are proposed.•CSAs’ performance is assessed using real and simulated data.•CSAs perform on different objectives.•The efficiency of CSAs against the state-of-the-art solvers is presented.•CSAs constitute an attractive alternative approach to the PLD problem.
Product 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. |
| Author | Pantourakis, Michail Zervoudakis, Konstantinos Altsitsiadis, Efthymios Andronikidis, Andreas Tsafarakis, Stelios Ntamadaki, Vasiliki |
| Author_xml | – sequence: 1 givenname: Michail surname: Pantourakis fullname: Pantourakis, Michail organization: School of Production Engineering and Management, Technical University of Crete, Chania, Greece – sequence: 2 givenname: Stelios orcidid: 0000-0001-5535-4787 surname: Tsafarakis fullname: Tsafarakis, Stelios email: tsafarakis@dpem.tuc.gr organization: School of Production Engineering and Management, Technical University of Crete, Chania, Greece – sequence: 3 givenname: Konstantinos surname: Zervoudakis fullname: Zervoudakis, Konstantinos email: kzervoudakis@isc.tuc.gr organization: School of Production Engineering and Management, Technical University of Crete, Chania, Greece – sequence: 4 givenname: Efthymios orcidid: 0000-0003-4208-927X surname: Altsitsiadis fullname: Altsitsiadis, Efthymios email: ea.msc@cbs.dk organization: Department of Management, Society and Communication, Copenhagen Business School, Copenhagen, Denmark – sequence: 5 givenname: Andreas orcidid: 0000-0003-4855-1111 surname: Andronikidis fullname: Andronikidis, Andreas email: a.andronikidis@uom.gr organization: Department of Business Administration, University of Macedonia, Thessaloniki, Greece – sequence: 6 givenname: Vasiliki surname: Ntamadaki fullname: Ntamadaki, Vasiliki organization: School of Production Engineering and Management, Technical University of Crete, Chania, Greece |
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| Cites_doi | 10.1016/j.ejor.2005.06.042 10.1287/mnsc.42.8.1105 10.1016/j.ijresmar.2010.08.001 10.5962/bhl.title.8281 10.1007/s10957-006-9135-3 10.1287/mnsc.36.12.1464 10.1016/j.ijresmar.2010.05.002 10.1007/978-3-030-38629-0_23 10.1287/mksc.22.3.273.17743 10.1016/j.swevo.2018.10.005 10.1287/opre.2016.1546 10.1038/nm1159 10.1016/0377-2217(89)90329-9 10.1016/S0377-2217(00)00246-0 10.1007/978-3-642-15606-9_19 10.1007/s10479-015-2032-0 10.1016/j.asoc.2006.12.004 10.1007/3-540-45105-6_26 10.1007/s10462-011-9206-1 10.1016/j.eswa.2014.11.008 10.1016/j.tcs.2008.02.011 10.1287/mksc.4.1.1 10.1287/mksc.1050.0144 10.1177/147078530304500202 10.1016/j.future.2004.03.014 10.1007/11536444_2 10.1007/s00500-017-2742-0 10.1016/j.ejor.2020.05.018 10.1109/TSMCB.2003.817051 10.1145/1141277.1141500 10.1016/j.cor.2004.07.011 10.1038/nri2177 10.1016/j.asoc.2010.08.024 10.1007/978-3-540-30220-9_22 10.1016/0167-9236(94)00026-O 10.1287/mnsc.1080.0864 |
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| References | Cutello, V., Nicosia, G., & Oliveto, P.S. (.2006). Analysis of an evolutionary algorithm with hypermacromutation and stop at first constructive mutation heuristic for solving trap functions. Vol. 258, Springer, pp. 295-336 https://doi.org/10.1007/978-3-642-15606-9_19 Timmis, Hone, Stibor, Clark (bib0032) 2008; 403 Burnet, S.F.M. (1959). Belloni, Freund, Selove, Simester (bib0008) 2008; 54 Ahn, Ramakrishna (bib0001) 2003; 7 Tsafarakis (bib0034) 2016; 247 Hart, Timmis (bib0023) 2008; 8 Michalek, Ebbes, Adigüzel, Feinberg, Papalambros (bib0027) 2011; 28 Balakrishnan, Gupta, Jacob (bib0004) 2004; 34 13-28 (Springer Berlin Heidelberg), ISBN 978-3-540-28175-7. 945-949 (ACM). (W. H. Freeman), 5th edition, ISBN 9780716749479 Saridakis, Tsafarakis, Delias, Baltas, Matsatsinis (bib0030) 2015; 42 Shocker A.D. (ed.), Marketing Science Institute, Cambridge, MA. Balakrishnan, Varghese (bib0007) 1996; 42 Noorbin, Alfi (bib0028) 2018; 22 Engin, D¨oyen (bib0018) 2004; 20 Bertsimas, Mišić (bib0009) 2017; 65 Steiner, Hruschka (bib0031) 2003; 45 Tsafarakis, Zervoudakis, Andronikidis, Altsitsiadis (bib0037) 2020; 287 Fruchter, Fligler, Winer (bib0019) 2006; 131 Cohn, Mitchison, Paul, Silverstein, Talmage, Weigert (bib0011) 2007; 7 263-276 (Springer Berlin Heidelberg), ISBN 978- 3-540-23097-7. Kohli, Krishnamusti (bib0026) 1989; 40 207-218 (Springer). Balakrishnan, Varghese (bib0006) 1995; 14 Dasgupta, Yu, Nino (bib0015) 2011; 11 Hauser, Tellis, Griffin (bib0024) 2006; 25 volume 3627 of Zhang, Zhang, Yen, Jing (bib0040) 2019; 50 volume 3239 of De Castro, Timmis (bib0016) 2002; 1 Cutello, V., Nicosia, G., & Pavone, M. (2004). Exploring the capability of immune algorithms: A characterization of hypermutation operators. Nicosia G, Cutello V, Bentley P, Timmis J, eds. De Castro, Von Zuben (bib0017) 2002; 6 Green, Krieger (bib0022) 1985; 4 Cutello, V., Narzisi, G., Nicosia, G., & Pavone, M. (2005). Clonal selection algorithms: A comparative case study using effective mutation potentials. Jacob C, Pilat M, Bentley P, Timmis J, eds. Tsafarakis, Marinakis, Matsatsinis (bib0035) 2011; 28 volume 3 (Vanderbilt University Press Nashville). Alexouda, Paparrizos (bib0003) 2001; 134 Tsafarakis, S., & Matsatsinis, N. (2010). Designing Optimal Products: Algorithms and Systems. In J. Casillas, F.J. Martínez-López (Eds.) Zervoudakis, K., Tsafarakis, S., & Paraskevi-Panagiota, S. (2020). A New Hybrid Firefly - Genetic Algorithm for the Optimal Product Line Design Problem. In N. Matsatsinis, Y. Marinakis, & P. Pardalos (Eds.) Kelsey, J., & Timmis, J. (2003). Immune inspired somatic contiguous hypermutation for function optimisation. (pp. 284-297). Springer, Cham. https://doi.org/10.1007/978-3-030-38629-0_23 Zufryden, F. (1977). A conjoint measurement-based approach for optimal new product design and market segmentation. In Kohli, Sukumar (bib0888) 1990; 36 Albritton, McMullen (bib0002) 2007; 176 Ulutas, Kulturel-Konak (bib0038) 2011; 36 Germain (bib0020) 2004; 10 Goldsby, R.A., .Kindt, T.J., .Kuby, J., & Osborne, B.A. (.2002). Immunology Balakrishnan, Gupta, Jacob (bib0005) 2006; 33 Olivas, Valdez, Castillo, Melin (bib0029) 2018 Toubia, Simester, Hauser, Dahan (bib0033) 2003; 22 Engin (10.1016/j.ejor.2021.07.006_bib0018) 2004; 20 Kohli (10.1016/j.ejor.2021.07.006_bib0888) 1990; 36 Zhang (10.1016/j.ejor.2021.07.006_bib0040) 2019; 50 Balakrishnan (10.1016/j.ejor.2021.07.006_bib0007) 1996; 42 Tsafarakis (10.1016/j.ejor.2021.07.006_bib0034) 2016; 247 Alexouda (10.1016/j.ejor.2021.07.006_bib0003) 2001; 134 De Castro (10.1016/j.ejor.2021.07.006_bib0016) 2002; 1 Green (10.1016/j.ejor.2021.07.006_bib0022) 1985; 4 Bertsimas (10.1016/j.ejor.2021.07.006_bib0009) 2017; 65 Kohli (10.1016/j.ejor.2021.07.006_bib0026) 1989; 40 Cohn (10.1016/j.ejor.2021.07.006_bib0011) 2007; 7 Albritton (10.1016/j.ejor.2021.07.006_bib0002) 2007; 176 Ahn (10.1016/j.ejor.2021.07.006_bib0001) 2003; 7 Hart (10.1016/j.ejor.2021.07.006_bib0023) 2008; 8 Belloni (10.1016/j.ejor.2021.07.006_bib0008) 2008; 54 10.1016/j.ejor.2021.07.006_bib0010 Hauser (10.1016/j.ejor.2021.07.006_bib0024) 2006; 25 Noorbin (10.1016/j.ejor.2021.07.006_bib0028) 2018; 22 10.1016/j.ejor.2021.07.006_bib0012 Balakrishnan (10.1016/j.ejor.2021.07.006_bib0006) 1995; 14 Ulutas (10.1016/j.ejor.2021.07.006_bib0038) 2011; 36 10.1016/j.ejor.2021.07.006_bib0039 Germain (10.1016/j.ejor.2021.07.006_bib0020) 2004; 10 10.1016/j.ejor.2021.07.006_bib0014 10.1016/j.ejor.2021.07.006_bib0036 10.1016/j.ejor.2021.07.006_bib0013 Toubia (10.1016/j.ejor.2021.07.006_bib0033) 2003; 22 Michalek (10.1016/j.ejor.2021.07.006_bib0027) 2011; 28 Tsafarakis (10.1016/j.ejor.2021.07.006_bib0037) 2020; 287 Olivas (10.1016/j.ejor.2021.07.006_bib0029) 2018 De Castro (10.1016/j.ejor.2021.07.006_bib0017) 2002; 6 Steiner (10.1016/j.ejor.2021.07.006_bib0031) 2003; 45 Fruchter (10.1016/j.ejor.2021.07.006_bib0019) 2006; 131 Saridakis (10.1016/j.ejor.2021.07.006_bib0030) 2015; 42 10.1016/j.ejor.2021.07.006_bib0021 Tsafarakis (10.1016/j.ejor.2021.07.006_bib0035) 2011; 28 Timmis (10.1016/j.ejor.2021.07.006_bib0032) 2008; 403 10.1016/j.ejor.2021.07.006_bib0041 Balakrishnan (10.1016/j.ejor.2021.07.006_bib0005) 2006; 33 Dasgupta (10.1016/j.ejor.2021.07.006_bib0015) 2011; 11 Balakrishnan (10.1016/j.ejor.2021.07.006_bib0004) 2004; 34 10.1016/j.ejor.2021.07.006_bib0025 |
| References_xml | – reference: Zervoudakis, K., Tsafarakis, S., & Paraskevi-Panagiota, S. (2020). A New Hybrid Firefly - Genetic Algorithm for the Optimal Product Line Design Problem. In N. Matsatsinis, Y. Marinakis, & P. Pardalos (Eds.), – volume: 42 start-page: 1105 year: 1996 end-page: 1117 ident: bib0007 article-title: Genetic algorithms for product design publication-title: Management Science – volume: 6 start-page: 239 year: 2002 end-page: 251 ident: bib0017 article-title: Learning and optimization using the clonal selection principle. publication-title: IEEE Transactions on – reference: , Shocker A.D. (ed.), Marketing Science Institute, Cambridge, MA. – volume: 8 start-page: 191 year: 2008 end-page: 201 ident: bib0023 article-title: Application areas of AIS: The past, the present and the future publication-title: Applied Soft Computing – volume: 42 start-page: 2323 year: 2015 end-page: 2335 ident: bib0030 article-title: Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism publication-title: Expert Systems with Applications – volume: 4 start-page: 1 year: 1985 end-page: 19 ident: bib0022 article-title: Models and heuristics for product line selection publication-title: Marketing Science – reference: Kelsey, J., & Timmis, J. (2003). Immune inspired somatic contiguous hypermutation for function optimisation. – volume: 14 start-page: 313 year: 1995 end-page: 327 ident: bib0006 article-title: Triangulation in decision support systems: Algorithms for product design publication-title: Decision Support Systems – reference: , volume 3 (Vanderbilt University Press Nashville). – volume: 28 start-page: 1 year: 2011 end-page: 12 ident: bib0027 article-title: Enhancing marketing with engineering: Optimal product line design for heterogeneous markets publication-title: International Journal of Research in Marketing – reference: , 945-949 (ACM). – reference: , 263-276 (Springer Berlin Heidelberg), ISBN 978- 3-540-23097-7. – reference: Cutello, V., Nicosia, G., & Pavone, M. (2004). Exploring the capability of immune algorithms: A characterization of hypermutation operators. Nicosia G, Cutello V, Bentley P, Timmis J, eds., – reference: , volume 3239 of – volume: 247 start-page: 617 year: 2016 end-page: 633 ident: bib0034 article-title: Redesigning product lines in a period of economic crisis: A hybrid simulated annealing algorithm with crossover publication-title: Annals of Operations Research – volume: 28 start-page: 13 year: 2011 end-page: 22 ident: bib0035 article-title: Particle swarm optimization for optimal product line design publication-title: International Journal of Research in Marketing – volume: 40 start-page: 186 year: 1989 end-page: 195 ident: bib0026 article-title: Optimal product design using conjoint analysis: Computational complexity and algorithms publication-title: European Journal of Operational Research – volume: 403 start-page: 11 year: 2008 end-page: 32 ident: bib0032 article-title: Theoretical advances in artificial immune systems publication-title: Theoretical Computer Science – volume: 287 start-page: 1161 year: 2020 end-page: 1169 ident: bib0037 article-title: Fuzzy self-tuning differential evolution for optimal product line design publication-title: European Journal of Operational Research – volume: 7 start-page: 823 year: 2007 end-page: 830 ident: bib0011 article-title: Reflections on the clonal-selection theory publication-title: Nature Reviews Immunology – reference: Cutello, V., Nicosia, G., & Oliveto, P.S. (.2006). Analysis of an evolutionary algorithm with hypermacromutation and stop at first constructive mutation heuristic for solving trap functions. – volume: 20 start-page: 1083 year: 2004 end-page: 1095 ident: bib0018 article-title: A new approach to solve hybrid flow shop scheduling problems by artificial immune system publication-title: Future Generation Computer Systems – volume: 22 start-page: 273 year: 2003 end-page: 303 ident: bib0033 article-title: Fast polyhedral adaptive conjoint estimation publication-title: Marketing Science – reference: Cutello, V., Narzisi, G., Nicosia, G., & Pavone, M. (2005). Clonal selection algorithms: A comparative case study using effective mutation potentials. Jacob C, Pilat M, Bentley P, Timmis J, eds., – reference: Goldsby, R.A., .Kindt, T.J., .Kuby, J., & Osborne, B.A. (.2002). Immunology – reference: (W. H. Freeman), 5th edition, ISBN 9780716749479 – volume: 176 start-page: 498 year: 2007 end-page: 520 ident: bib0002 article-title: Optimal product design using a colony of virtual ants publication-title: European Journal of Operational Research – reference: , 13-28 (Springer Berlin Heidelberg), ISBN 978-3-540-28175-7. – volume: 34 start-page: 468 year: 2004 end-page: 483 ident: bib0004 article-title: Development of hybrid genetic algorithms for product line designs publication-title: IEEE Transactions on Systems, Man, and Cybernetics – reference: Tsafarakis, S., & Matsatsinis, N. (2010). Designing Optimal Products: Algorithms and Systems. In J. Casillas, F.J. Martínez-López (Eds.), – volume: 54 start-page: 1544 year: 2008 end-page: 1552 ident: bib0008 article-title: Optimizing product line designs: Efficient methods and comparisons publication-title: Management Science – volume: 131 start-page: 227 year: 2006 end-page: 244 ident: bib0019 article-title: Optimal product line design: Genetic algorithm approach to mitigate cannibalization publication-title: Journal of Optimization Theory and Applications – volume: 65 start-page: 19 year: 2017 end-page: 37 ident: bib0009 article-title: Robust product line design publication-title: Operations Research – reference: Zufryden, F. (1977). A conjoint measurement-based approach for optimal new product design and market segmentation. In – volume: 7 start-page: 367 year: 2003 end-page: 385 ident: bib0001 article-title: Elitism-based compact genetic algorithms. Evolutionary computation publication-title: IEEE Transactions on – volume: 36 start-page: 117 year: 2011 end-page: 138 ident: bib0038 article-title: A review of clonal selection algorithm and its applications publication-title: Artificial Intelligence Review – volume: 25 start-page: 687 year: 2006 end-page: 717 ident: bib0024 article-title: Research on innovation: A review and agenda for marketing science publication-title: Marketing Science – reference: , 207-218 (Springer). – volume: 36 start-page: 1464 year: 1990 end-page: 1478 ident: bib0888 article-title: Heuristics for product-line design using conjoint analysis publication-title: Management Science – volume: 45 start-page: 1 year: 2003 end-page: 13 ident: bib0031 article-title: Genetic algorithms for product design: How well do they really work? publication-title: International Journal of Market Research – volume: 50 year: 2019 ident: bib0040 article-title: A cluster-based clonal selection algorithm for optimization in dynamic environment publication-title: Swarm and Evolutionary Computation – reference: Burnet, S.F.M. (1959). – volume: 22 start-page: 7939 year: 2018 end-page: 7960 ident: bib0028 article-title: Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems publication-title: Soft Computing – reference: (pp. 284-297). Springer, Cham. https://doi.org/10.1007/978-3-030-38629-0_23 – year: 2018 ident: bib0029 article-title: Dynamic parameter adaptation for meta-heuristic optimization algorithms through type-2 fuzzy logic – volume: 10 start-page: 1307 year: 2004 end-page: 1320 ident: bib0020 article-title: An innately interesting decade of research in immunology publication-title: Nature Medicine – volume: 33 start-page: 639 year: 2006 end-page: 659 ident: bib0005 article-title: An investigation of mating and population maintenance strategies in hybrid genetic heuristics for product line designs publication-title: Computers & Operations Research – reference: , Vol. 258, Springer, pp. 295-336 https://doi.org/10.1007/978-3-642-15606-9_19 – volume: 11 start-page: 1574 year: 2011 end-page: 1587 ident: bib0015 article-title: Recent advances in artificial immune systems: Models and applications publication-title: Applied Soft Computing – volume: 1 start-page: 699 year: 2002 end-page: 704 ident: bib0016 article-title: An artificial immune network for multimodal function optimization publication-title: Evolu- tionary Computation, 2002. CEC’02. Proceedings of the 2002 Congress on – reference: , volume 3627 of – volume: 134 start-page: 165 year: 2001 end-page: 178 ident: bib0003 article-title: A genetic algorithm approach to the product line design problem using the Seller's return criterion: an exhaustive comparative computational study publication-title: European Journal of Operational Research – volume: 176 start-page: 498 issue: 1 year: 2007 ident: 10.1016/j.ejor.2021.07.006_bib0002 article-title: Optimal product design using a colony of virtual ants publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2005.06.042 – volume: 42 start-page: 1105 issue: 8 year: 1996 ident: 10.1016/j.ejor.2021.07.006_bib0007 article-title: Genetic algorithms for product design publication-title: Management Science doi: 10.1287/mnsc.42.8.1105 – volume: 28 start-page: 1 year: 2011 ident: 10.1016/j.ejor.2021.07.006_bib0027 article-title: Enhancing marketing with engineering: Optimal product line design for heterogeneous markets publication-title: International Journal of Research in Marketing doi: 10.1016/j.ijresmar.2010.08.001 – ident: 10.1016/j.ejor.2021.07.006_bib0010 doi: 10.5962/bhl.title.8281 – volume: 131 start-page: 227 issue: 2 year: 2006 ident: 10.1016/j.ejor.2021.07.006_bib0019 article-title: Optimal product line design: Genetic algorithm approach to mitigate cannibalization publication-title: Journal of Optimization Theory and Applications doi: 10.1007/s10957-006-9135-3 – volume: 36 start-page: 1464 issue: 12 year: 1990 ident: 10.1016/j.ejor.2021.07.006_bib0888 article-title: Heuristics for product-line design using conjoint analysis publication-title: Management Science doi: 10.1287/mnsc.36.12.1464 – volume: 28 start-page: 13 issue: 1 year: 2011 ident: 10.1016/j.ejor.2021.07.006_bib0035 article-title: Particle swarm optimization for optimal product line design publication-title: International Journal of Research in Marketing doi: 10.1016/j.ijresmar.2010.05.002 – ident: 10.1016/j.ejor.2021.07.006_bib0039 doi: 10.1007/978-3-030-38629-0_23 – volume: 6 start-page: 239 issue: 3 year: 2002 ident: 10.1016/j.ejor.2021.07.006_bib0017 article-title: Learning and optimization using the clonal selection principle. Evolutionary computation publication-title: IEEE Transactions on – volume: 22 start-page: 273 issue: 3 year: 2003 ident: 10.1016/j.ejor.2021.07.006_bib0033 article-title: Fast polyhedral adaptive conjoint estimation publication-title: Marketing Science doi: 10.1287/mksc.22.3.273.17743 – ident: 10.1016/j.ejor.2021.07.006_bib0041 – volume: 50 year: 2019 ident: 10.1016/j.ejor.2021.07.006_bib0040 article-title: A cluster-based clonal selection algorithm for optimization in dynamic environment publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2018.10.005 – volume: 65 start-page: 19 issue: 1 year: 2017 ident: 10.1016/j.ejor.2021.07.006_bib0009 article-title: Robust product line design publication-title: Operations Research doi: 10.1287/opre.2016.1546 – volume: 10 start-page: 1307 issue: 12 year: 2004 ident: 10.1016/j.ejor.2021.07.006_bib0020 article-title: An innately interesting decade of research in immunology publication-title: Nature Medicine doi: 10.1038/nm1159 – volume: 40 start-page: 186 issue: 2 year: 1989 ident: 10.1016/j.ejor.2021.07.006_bib0026 article-title: Optimal product design using conjoint analysis: Computational complexity and algorithms publication-title: European Journal of Operational Research doi: 10.1016/0377-2217(89)90329-9 – volume: 7 start-page: 367 issue: 4 year: 2003 ident: 10.1016/j.ejor.2021.07.006_bib0001 article-title: Elitism-based compact genetic algorithms. Evolutionary computation publication-title: IEEE Transactions on – volume: 134 start-page: 165 issue: 1 year: 2001 ident: 10.1016/j.ejor.2021.07.006_bib0003 article-title: A genetic algorithm approach to the product line design problem using the Seller's return criterion: an exhaustive comparative computational study publication-title: European Journal of Operational Research doi: 10.1016/S0377-2217(00)00246-0 – ident: 10.1016/j.ejor.2021.07.006_bib0036 doi: 10.1007/978-3-642-15606-9_19 – volume: 247 start-page: 617 issue: 2 year: 2016 ident: 10.1016/j.ejor.2021.07.006_bib0034 article-title: Redesigning product lines in a period of economic crisis: A hybrid simulated annealing algorithm with crossover publication-title: Annals of Operations Research doi: 10.1007/s10479-015-2032-0 – volume: 8 start-page: 191 issue: 1 year: 2008 ident: 10.1016/j.ejor.2021.07.006_bib0023 article-title: Application areas of AIS: The past, the present and the future publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2006.12.004 – ident: 10.1016/j.ejor.2021.07.006_bib0021 – ident: 10.1016/j.ejor.2021.07.006_bib0025 doi: 10.1007/3-540-45105-6_26 – volume: 36 start-page: 117 issue: 2 year: 2011 ident: 10.1016/j.ejor.2021.07.006_bib0038 article-title: A review of clonal selection algorithm and its applications publication-title: Artificial Intelligence Review doi: 10.1007/s10462-011-9206-1 – volume: 42 start-page: 2323 issue: 5 year: 2015 ident: 10.1016/j.ejor.2021.07.006_bib0030 article-title: Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2014.11.008 – volume: 403 start-page: 11 issue: 1 year: 2008 ident: 10.1016/j.ejor.2021.07.006_bib0032 article-title: Theoretical advances in artificial immune systems publication-title: Theoretical Computer Science doi: 10.1016/j.tcs.2008.02.011 – volume: 4 start-page: 1 issue: 1 year: 1985 ident: 10.1016/j.ejor.2021.07.006_bib0022 article-title: Models and heuristics for product line selection publication-title: Marketing Science doi: 10.1287/mksc.4.1.1 – volume: 25 start-page: 687 issue: 6 year: 2006 ident: 10.1016/j.ejor.2021.07.006_bib0024 article-title: Research on innovation: A review and agenda for marketing science publication-title: Marketing Science doi: 10.1287/mksc.1050.0144 – year: 2018 ident: 10.1016/j.ejor.2021.07.006_bib0029 – volume: 45 start-page: 1 issue: 2 year: 2003 ident: 10.1016/j.ejor.2021.07.006_bib0031 article-title: Genetic algorithms for product design: How well do they really work? publication-title: International Journal of Market Research doi: 10.1177/147078530304500202 – volume: 20 start-page: 1083 issue: 6 year: 2004 ident: 10.1016/j.ejor.2021.07.006_bib0018 article-title: A new approach to solve hybrid flow shop scheduling problems by artificial immune system publication-title: Future Generation Computer Systems doi: 10.1016/j.future.2004.03.014 – ident: 10.1016/j.ejor.2021.07.006_bib0012 doi: 10.1007/11536444_2 – volume: 22 start-page: 7939 issue: 23 year: 2018 ident: 10.1016/j.ejor.2021.07.006_bib0028 article-title: Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems publication-title: Soft Computing doi: 10.1007/s00500-017-2742-0 – volume: 287 start-page: 1161 issue: 3 year: 2020 ident: 10.1016/j.ejor.2021.07.006_bib0037 article-title: Fuzzy self-tuning differential evolution for optimal product line design publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2020.05.018 – volume: 34 start-page: 468 issue: 1 year: 2004 ident: 10.1016/j.ejor.2021.07.006_bib0004 article-title: Development of hybrid genetic algorithms for product line designs publication-title: IEEE Transactions on Systems, Man, and Cybernetics doi: 10.1109/TSMCB.2003.817051 – ident: 10.1016/j.ejor.2021.07.006_bib0013 doi: 10.1145/1141277.1141500 – volume: 33 start-page: 639 issue: 3 year: 2006 ident: 10.1016/j.ejor.2021.07.006_bib0005 article-title: An investigation of mating and population maintenance strategies in hybrid genetic heuristics for product line designs publication-title: Computers & Operations Research doi: 10.1016/j.cor.2004.07.011 – volume: 7 start-page: 823 issue: 10 year: 2007 ident: 10.1016/j.ejor.2021.07.006_bib0011 article-title: Reflections on the clonal-selection theory publication-title: Nature Reviews Immunology doi: 10.1038/nri2177 – volume: 11 start-page: 1574 issue: 2 year: 2011 ident: 10.1016/j.ejor.2021.07.006_bib0015 article-title: Recent advances in artificial immune systems: Models and applications publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2010.08.024 – volume: 1 start-page: 699 year: 2002 ident: 10.1016/j.ejor.2021.07.006_bib0016 article-title: An artificial immune network for multimodal function optimization publication-title: Evolu- tionary Computation, 2002. CEC’02. Proceedings of the 2002 Congress on – ident: 10.1016/j.ejor.2021.07.006_bib0014 doi: 10.1007/978-3-540-30220-9_22 – volume: 14 start-page: 313 issue: 4 year: 1995 ident: 10.1016/j.ejor.2021.07.006_bib0006 article-title: Triangulation in decision support systems: Algorithms for product design publication-title: Decision Support Systems doi: 10.1016/0167-9236(94)00026-O – volume: 54 start-page: 1544 issue: 9 year: 2008 ident: 10.1016/j.ejor.2021.07.006_bib0008 article-title: Optimizing product line designs: Efficient methods and comparisons publication-title: Management Science doi: 10.1287/mnsc.1080.0864 |
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| Title | Clonal selection algorithms for optimal product line design: A comparative study |
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