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Pregled bibliografske jedinice broj: 745370

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Autori: Nyarko, Emmanuel Karlo; Cupec, Robert; Filko, Damir
Naslov: A comparison of several heuristic algorithms for solving high dimensional optimization problems
( A comparison of several heuristic algorithms for solving high dimensional optimization problems )
Izvornik:
Skup: 32nd Science in Practice 2014 (SiP 2014)
Mjesto i datum: Osijek, Hrvatska, 15-17.10.2014.
Ključne riječi: heuristic optimization; high dimensional optimization; optimization techniques; nature-inspired algorithms
( 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.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Nema recenziju
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Upisao u CROSBI: Emmanuel Karlo Nyarko (emmanuel.karlo.nyarko@etfos.hr), 3. Sij. 2015. u 10:42 sati



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