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Metamodel-assisted Global Search Using a Probing Technique
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-3973-3394
Högskolan i Skövde, Institutionen för teknik och samhälle.
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-0111-1776
2007 (Engelska)Ingår i: The IAENG International Conference on Artificial Intelligence and Applications (ICAIA'07), International Association of Engineers, 2007, s. 83-88Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper presents a new metamodel-assisted metaheuristic algorithm for optimisation problems involving computationally expensive simulations. The algorithm, called Global Probing Search, is a population-based algorithm designed for global optimisation. The main idea of the algorithm is to introduce a probing phase in the creating of the new generation of the population. In this probing phase, a large number of candidate solutions are generated and a computationally cheap metamodel function is used for choosing the most promising candidates to transfer to the next generation. This approach could significantly enhance the efficiency of the optimisation process by avoiding wasting valuable evaluation time on solutions that are likely to be inferior. During the optimisation, the accuracy of the metamodel is constantly improved through on-line updating. The proposed algorithm is implemented on a real-world optimisation problem and initial results indicate that the algorithm show good performance in comparison with a standard Genetic Algorithm and an existing metamodel-assisted metaheuristic.

Ort, förlag, år, upplaga, sidor
International Association of Engineers, 2007. s. 83-88
Nyckelord [en]
Terms—Metaheuristic, Optimisation, Simulation, Metamodel, Neural Network.
Identifikatorer
URN: urn:nbn:se:his:diva-2037ISI: 000246800600015Scopus ID: 2-s2.0-84888342486ISBN: 978-988-98671-4-0 OAI: oai:DiVA.org:his-2037DiVA, id: diva2:32313
Konferens
International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007, Kowloon, Hong Kong, 21 March 2007 through 23 March 2007
Tillgänglig från: 2008-05-09 Skapad: 2008-05-09 Senast uppdaterad: 2017-11-27Bibliografiskt granskad

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Persson, AnnaGrimm, HenrikNg, Amos

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