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Evolving Cuckoo Search: From single-objective to multi-objective
Högskolan i Skövde, Institutionen för teknik och samhälle.
2011 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 15 poäng / 22,5 hpOppgave
Abstract [en]

This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. Xin-She Yang. Cuckoo Search is a promising nature-inspired meta-heuristic optimization algorithm, which currently is only able to solve single-objective optimization problems. After an introduction, a number of theoretical points are presented as a basis for the decision of which algorithms to hybridize Cuckoo Search with. These are then reviewed in detail and verified against current benchmark algorithms to evaluate their efficiency.

To test the proposed algorithm in a new setting, a real-world combinatorial problem is used. The proposed algorithm is then used as an optimization engine for a simulation-based system and compared against a current implementation. 

sted, utgiver, år, opplag, sider
2011. , s. 53
Emneord [en]
cuckoo search, evolutionary algorithms, meta-heuristic optimization algorithm
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-5309OAI: oai:DiVA.org:his-5309DiVA, id: diva2:445763
Fag / kurs
Automation Engineering
Utdanningsprogram
Industrial Informatics - Master's Programme
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(engelsk)
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Technology
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Examiner
Tilgjengelig fra: 2012-11-14 Laget: 2011-10-05 Sist oppdatert: 2012-11-14bibliografisk kontrollert

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