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Pregled bibliografske jedinice broj: 1184114

Metaheuristics for problems with limited budget of evaluations


Molnar, Goran
Metaheuristics for problems with limited budget of evaluations, 2020., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb


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Naslov
Metaheuristics for problems with limited budget of evaluations

Autori
Molnar, Goran

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
14.02

Godina
2020

Stranica
204

Mentor
Jakobović, Domagoj

Ključne riječi
metaheuristics, development methodology, Iterated local search, workforce scheduling, carsharing, transportation optimisation

Sažetak
Metaheuristic techniques are an essential set of optimisation techniques with broad applications in numerous problems of great practical importance. Despite their success, using metaheuristics also has notable drawbacks: they are highly complex algorithms whose implementation process still lacks a formal development methodology. Their development is expensive as it requires highly trained experts, requires considerable time and computational resources. This work proposes a bottom-up development methodology for metaheuristic development, based on a component-based view of metaheuristics and gradual addition of more complex elements. The development methodology has the potential to reduce development time and costs while providing high-quality results. This development methodology was experimentally validated on three difficult problems: (1) call centre workforce scheduling, (2) carsharing reservations optimisations, (3) carsharing variable trip pricing problem. The second and third problems were especially difficult given their resource-intensive objective function, that requires long evaluation times. Solutions to these two problems are to the best of the author’s knowledge, the first applications of the iterated local search metaheuristic on such problems with a limited number of evaluations. Further, these solutions do not use surrogate modelling, which is common practice with such problems. The work concludes with a set of guidelines for surrogate-free solving of optimisation problems with a limited number of evaluations, based on the experiences solving these two problems.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Domagoj Jakobović (mentor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Molnar, Goran
Metaheuristics for problems with limited budget of evaluations, 2020., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb
Molnar, G. (2020) 'Metaheuristics for problems with limited budget of evaluations', doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Molnar, Goran}, year = {2020}, pages = {204}, keywords = {metaheuristics, development methodology, Iterated local search, workforce scheduling, carsharing, transportation optimisation}, title = {Metaheuristics for problems with limited budget of evaluations}, keyword = {metaheuristics, development methodology, Iterated local search, workforce scheduling, carsharing, transportation optimisation}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Molnar, Goran}, year = {2020}, pages = {204}, keywords = {metaheuristics, development methodology, Iterated local search, workforce scheduling, carsharing, transportation optimisation}, title = {Metaheuristics for problems with limited budget of evaluations}, keyword = {metaheuristics, development methodology, Iterated local search, workforce scheduling, carsharing, transportation optimisation}, publisherplace = {Zagreb} }




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