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A comparison of several heuristic algorithms for solving high dimensional optimization problems


Nyarko, Emmanuel Karlo; Cupec, Robert; Filko, Damir
A comparison of several heuristic algorithms for solving high dimensional optimization problems // 32nd Science in Practice 2014 (SiP 2014)
Osijek, Hrvatska, 2014. (predavanje, nije recenziran, sažetak, znanstveni)


Naslov
A comparison of several heuristic algorithms for solving high dimensional optimization problems

Autori
Nyarko, Emmanuel Karlo ; Cupec, Robert ; Filko, Damir

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
32nd Science in Practice 2014 (SiP 2014)

Mjesto i datum
Osijek, Hrvatska, 15-17.10.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
Heuristic optimization; high dimensional optimization; optimization techniques; nature-inspired algorithms

Sažetak
The number of heuristic optimization algorithms has exploded over the last decade with new methods being proposed constantly. A recent overview of existing heuristic methods has listed over 130 algorithms. The majority of these optimization algorithms have been designed and applied to solve real-parameter function optimization problems, each claiming to be superior to other methods in terms of performance. In this paper, three heuristic algorithms are systematically analyzed and tested in detail for real-parameter optimization problems, especially those involving a large number of parameters. Three traditional methods, i.e., genetic algorithms (GA), particle swarm optimization (PSO) and differential evolution (DE) are compared in terms of accuracy and runtime, using several high dimensional standard benchmark functions and real world problems.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek