Naslov
Deriving Heuristics in Evolutionary Algorithms through Families of Focused Experiments

Autori
Bogunović, Nikola ; Rolich, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IEEE SMC 2000 Conference Proceedings / Kawamura, Kazuhiko - Nashville (TN) : Institute of Electrical and Electronics Engineers (IEEE), 2000, 2293-2298

Skup
2000 IEEE International Conference on Systems, Man & Cybernetics

Mjesto i datum
Nashville (TN), Sjedinjene Američke Države, 08.10.2000. - 11.10.2000

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic algorithms ; evolutionary algorithms ; heuristics

Sažetak
Over the last decade the field of evolutionary computation has experienced a very rapid growth. However, the existence of overly many parameters and choices in directing the optimization (search) process requires some additional heuristics. These heuristics may be derived from focused experiments that reveal an impact of the particular parameter on the efficiency of search for a global optimum. The paper concentrates on evolution strategies (ES), a subset of evolution programs developed as methods for numerical optimization, and in particular on multimembered (lambda + mu)-ES, where lambda individuals produce mu offspring. The paper analyzes the influence of various recombination techniques on the convergence rate of (lambda + mu)-ES. Experimental explorations of various recombination techniques are performed on the optimization task of nine standard, well-known objective functions.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA