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Constructive cooper...
Constructive cooperative coevolution for large-scale global optimisation
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- Glorieux, Emile, 1989- (författare)
- Högskolan Väst,Avdelningen för produktionssystem (PS),PTW
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- Svensson, Bo, 1959- (författare)
- Högskolan Väst,Avdelningen för produktionssystem (PS),PTW
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- Danielsson, Fredrik, 1972- (författare)
- Högskolan Väst,Avdelningen för produktionssystem (PS),PTW
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- Lennartson, Bengt, 1956- (författare)
- Högskolan Väst,Avdelningen för produktionssystem (PS),Department of Signals and Systems, Chalmers University of Technology, S-412 96 Gothenburg, Sweden,PTW,Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2017-07-17
- 2017
- Engelska.
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Ingår i: Journal of Heuristics. - : Springer Science and Business Media LLC. - 1381-1231 .- 1572-9397. ; 23:6, s. 449-469
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Abstract
Ämnesord
Stäng
- This paper presents the Constructive Cooperative Coevolutionary ( C3C3 ) algorithm, applied to continuous large-scale global optimisation problems. The novelty of C3C3 is that it utilises a multi-start architecture and incorporates the Cooperative Coevolutionary algorithm. The considered optimisation problem is decomposed into subproblems. An embedded optimisation algorithm optimises the subproblems separately while exchanging information to co-adapt the solutions for the subproblems. Further, C3C3 includes a novel constructive heuristic that generates different feasible solutions for the entire problem and thereby expedites the search. In this work, two different versions of C3C3 are evaluated on high-dimensional benchmark problems, including the CEC'2013 test suite for large-scale global optimisation. C3C3 is compared with several state-of-the-art algorithms, which shows that C3C3 is among the most competitive algorithms. C3C3 outperforms the other algorithms for most partially separable functions and overlapping functions. This shows that C3C3 is an effective algorithm for large-scale global optimisation. This paper demonstrates the enhanced performance by using constructive heuristics for generating initial feasible solutions for Cooperative Coevolutionary algorithms in a multi-start framework.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Evolutionary optimisation
- Cooperative coevolution
- Algorithm design and analysis
- Large-scale optimisation
- Production Technology
- Produktionsteknik
- Manufacturing and materials engineering
- Produktions- och materialteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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