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A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems

Emmanuel Karlo Nyarko   ORCID icon orcid.org/0000-0001-8041-3646 ; J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering
Robert Cupec ; J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering
Damir Filko ; J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering

Puni tekst: engleski, pdf (893 KB) str. 1-8 preuzimanja: 2.635* citiraj
APA 6th Edition
Nyarko, E.K., Cupec, R. i Filko, D. (2014). A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems. International journal of electrical and computer engineering systems, 5. (1.), 1-8. Preuzeto s https://hrcak.srce.hr/134402
MLA 8th Edition
Nyarko, Emmanuel Karlo, et al. "A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems." International journal of electrical and computer engineering systems, vol. 5., br. 1., 2014, str. 1-8. https://hrcak.srce.hr/134402. Citirano 21.01.2021.
Chicago 17th Edition
Nyarko, Emmanuel Karlo, Robert Cupec i Damir Filko. "A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems." International journal of electrical and computer engineering systems 5., br. 1. (2014): 1-8. https://hrcak.srce.hr/134402
Harvard
Nyarko, E.K., Cupec, R., i Filko, D. (2014). 'A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems', International journal of electrical and computer engineering systems, 5.(1.), str. 1-8. Preuzeto s: https://hrcak.srce.hr/134402 (Datum pristupa: 21.01.2021.)
Vancouver
Nyarko EK, Cupec R, Filko D. A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems. International journal of electrical and computer engineering systems [Internet]. 2014 [pristupljeno 21.01.2021.];5.(1.):1-8. Dostupno na: https://hrcak.srce.hr/134402
IEEE
E.K. Nyarko, R. Cupec i D. Filko, "A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems", International journal of electrical and computer engineering systems, vol.5., br. 1., str. 1-8, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/134402. [Citirano: 21.01.2021.]

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. However, most of these algorithms have been tested on relatively low dimensional problems, i.e., problems involving less than 30 parameters. With the recent emergence of Big Data, the existing optimization methods need to be tested to find those (un)suitable to handle highly dimensional problems. This paper represents an initial step in such direction. Three traditional heuristic algorithms are systematically analyzed and tested in detail for problems involving up to 100 parameters. 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.

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

Hrčak ID: 134402

URI
https://hrcak.srce.hr/134402

Posjeta: 2.889 *