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Soft Computing
Erschienen in: Soft Computing 11/2016

08.08.2016 | Focus

Design and comparison of two evolutionary approaches for automated product design

verfasst von: Oliviu Matei, Diana Contraş, Petricǎ Pop, Honoriu Vǎlean

Erschienen in: Soft Computing | Ausgabe 11/2016

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Abstract

In this paper, we address the automated product design problem by two distinct evolutionary approaches: genetic algorithms and evolutionary ontologies. Based on the mechanisms and internal representation of each algorithm, their capabilities are different, which means that the structure and complexity of the products differs. We provide detailed description of the evolutionary ontologies: crossover, mutation, repair and selection operators. Finally, both approaches are tested, benchmarked and compared in the case of power train design.
Vorheriger Artikel Grey wolf optimization for PID controller design with prescribed robustness margins
Nächster Artikel A hybrid proposal for cross-sectoral analysis of knowledge management

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Literatur
Al Boni M, Anderson DT, King RL (2014) Constraints preserving genetic algorithm for learning fuzzy measures with an application to ontology matching. In: Advance trends in soft computing: Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA. Studies in Fuzziness and Soft Computing, vol 312. Springer International Publishing, pp 93–103. ISBN 978-3-319-03674-8. doi:10.​1007/​978-3-319-03674-8_​9
Arnborg S, Proskurowski A (1989) Linear time algorithms for np-hard problems restricted to partial k-trees. Discrete Appl Math 23(1):11–24MathSciNetCrossRefMATH
Chu CH, Luh YP, Li TC, Chen H (2009) Economical green product design based on simplified computer-aided product structure variation. Comput Ind 60(7):485–500CrossRef
Constantinou L, Bagherpour K, Gani R, Klein JA, Wu DT (1996) Computer aided product design: problem formulations, methodology and applications. Comput Chem Eng 20(6):685–702CrossRef
Dagum P, Luby M (1993) Approximating probabilistic inference in bayesian belief networks is np-hard. Artif Intell 60(1):141–153MathSciNetCrossRefMATH
del Mar Hershenson M, Mohan SS (2012) Automated circuit design using active set solving process. US Patent 8,307,309
Gielen G, Sansen W (2012) Symbolic analysis for automated design of analog integrated circuits. Springer Science & Business Media, Berlin
Gruber TR (1993) A translation approach to portable ontology specifications. Knowl Acquis 5(2):199–220CrossRef
Gunaratnam M et al (2005) Automated design of total water systems. Ind Eng Chem Res 44(3):588–599CrossRef
Hasan SK, Sarker R, Essam D, Cornforth D (2009) Memetic algorithms for solving job-shop scheduling problems. Memet Comput 1(1):69–83CrossRef
Hein J (2010) Discrete structures, logic, and computability. Jones & Bartlett Publishers, ISBN-13: 978-0-7637-7206-2, USA
Horridge M, Knublauch H, Rector A, Stevens R, Wroe C (2004) A practical guide to building OWL ontology using the Protg-OWL plugin and CO-ODE Tools Edition 1.0. University of Manchester, Manchester
Huang Y, Jiang Z, He C, Liu J, Song B, Liu L (2014) A semantic-based visualised wiki system (SVWkS) for lesson-learned knowledge reuse situated in product design. Int J Prod Res 53(8):2524–2541CrossRef
Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108–132MathSciNetMATH
Li WD, Lu WF, Fuh JY, Wong YS (2005) Collaborative computer-aided design research and development status. Comput Aided Des 37(9):931–940CrossRef
Manickasankari N, Arivazhagan D, Vennila G (2014) Ontology based semantic web technologies in e-learning environment using protégé. Indian J Sci Technol 7(S6):64–67
Martinez-Romero M, Vazquez-Naya JM, Novoa FJ, Vazquez G, Pereira J (2013) A genetic algorithms-based approach for optimizing similarity aggregation in ontology matching. International Work-Conference on Artificial Neural Networks. Lecture Notes in Computer Science, vol 7902. Springer, Berlin, Heidelberg, pp 435–444. ISBN 978-3-642-38679-4. doi:10.​1007/​978-3-642-38679-4_​43
Matei O (2008) Evolutionary computation: principles and practices. Risoprint
Matei O (2012) Theoretical and practical applications of evolutionary computation in solving combinatorial optimization problems. PhD thesis, Technical University of Cluj-Napoca
Matei OD (2015) Using genetic algorithms for exploring the solution space in the case of automated product design. Appl Mech Mater 809–810:1516–1521CrossRef
Matei O, Contras D (2015) Advanced genetic operators in the context of evolutionary ontology. In: Proceedings of IEEE congress on evolutionary computation (CEC-2015), pp 9–14, Sendai, Japan
Matei O, Contras D (2016a) Automated product design and development using evolutionary ontology, intelligent systems in cybernetics and automation control theory, artificial intelligence perspectives in intelligent systems. In: Proceedings of the 5th computer science on-line conference 2016 (CSOC2016), vol 1, pp 47–57
Matei O, Contras D (2016b) Translation of the mutation operator from genetic algorithms to evolutionary ontologies. IJACSA 7(1): 633–638
Matei O, Contras D, Pop PC (2014) Applying evolutionary computation for evolutionary ontology. In: Proceedings of IEEE congress on evolutionary computation (CEC-2014), pp 1520–1527, Beijing, China
Matei O, Contras D, Valean H (2015) Relational crossover in evolutionary ontologies. In: Proceedings of 10th international conference on soft computing models in industrial and environmental applications. Springer, pp 165–175
Meyer B (2009) Touch of class: learning to program well with objects and contracts. Springer Science & Business Media, e-ISBN 978-3-540-92145-5
Moon H, Park J, Kim S (2015) The importance of an innovative product design on customer behavior: development and validation of a scale. J Prod Innov Manag 32(2):224–232CrossRef
Motik B et al (2009) Owl 2 web ontology language: structural specification and functional-style syntax. W3C Recomm 27(65):159
Nee AYC (1991) A framework for an object/rule-based automated fixture design system. CIRP Annu Manuf Technol 40(1):147–151CrossRef
Petrovan A, Lobontiu G, Nagy SR (2013) Broadening the use of product development ontology for one-off products. Appl Mech Mater 371:878–882CrossRef
Petrovan A, Lobontiu M, Lobontiu G, Nagy SR (2014) Overview on equipment development ontology. Appl Mech Mater 657:1066–1070
Pop PC, Matei O (2011) An improved heuristic for the bandwidth minimization based on genetic programming. In: Hybrid artificial intelligent systems. Lecture Notes in Computer Science, vol 7902. Springer, Berlin, pp 67–74. ISBN 978-3-642-21222-2, doi:10.​1007/​978-3-642-21222-2_​9
Pop P, Matei O, Valean H (2011) An efficient hybrid soft computing approach to the generalized vehicle routing problem. In: Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Springer, Berlin, Heidelberg
Preece J, Sharp H, Rogers Y (2015) Interaction design-beyond human-computer interaction. Wiley, Hoboken
Rau-Chaplin A, MacKay-Lyons B, Spierenburg P (1996) The lahave house project: towards an automated architectural design service. Cadex 96:24–31
Romli A, Prickett P, Setchi R, Soe S (2015) Integrated eco-design decision-making for sustainable product development. Int J Prod Res 53(2):549–571CrossRef
Thangamani M, Thangaraj P (2013) Fuzzy ontology for distributed document clustering based on genetic algorithm. Appl Math Inf Sci 7(4):1563–1574CrossRef
Theng CC, Chuan YB, Sidek O (2004) An automated tool deployment for ESD (electrostatic-discharge) correct-by-construction strategy in 90 nm process. In: IEEE international conference on semiconductor electronics. ICSE 2004. IEEE, pp 7
Tinos R, Yang S (2007) A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Genet Program Evolvable Mach 8(3):255–286CrossRef
Vigneshwari S, Aramudhan M (2015) Social information retrieval based on semantic annotation and hashing upon the multiple ontologies. Indian J Sci Technol 8(2):103–107CrossRef
Wallace DR, Mark JJ (1993) Automated product concept design: unifying aesthetics and engineering. IEEE Comp Graph Appl 13(4):66–75CrossRef
Wang S, Barbosa LS, Oliveira JN (2008) A relational model for confined separation logic. In: 2nd IFIP/IEEE International Symposium on theoretical aspects of software engineering, 2008. TASE’08. IEEE
Woeginger GJ (2003) Exact algorithms for NP-hard problems: a survey. In: Combinatorial optimization—Eureka, You Shrink! Lecture Notes in Computer Science, vol 2570. Springer, Berlin, Heidelberg, pp 185–207
Woronowicz E, Zalewska A (1990) Properties of binary relations. Formaliz Math 1(1):85–89
Metadaten
Titel
Design and comparison of two evolutionary approaches for automated product design
verfasst von
Oliviu Matei
Diana Contraş
Petricǎ Pop
Honoriu Vǎlean
Publikationsdatum
08.08.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 11/2016
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2292-x

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