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- W2775306587 abstract "Numerous real life problems represents hard optimization problems that cannot be solved by deterministic algorithm. In the past decades various different methods were proposed for these kind of problems and one of the methods are nature inspired algorithms especially swarm intelligence algorithms. Elephant herding optimization algorithm (EHO) is one of the recent swarm intelligence algorithm that has not been thoroughly researched. In this paper we tested EHO algorithm on 28 standard benchmark functions and compared results with particle swarm optimization algorithm. Comparison show that EHO has good characteristics and it outperformed other approach from literature." @default.
- W2775306587 created "2017-12-22" @default.
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- W2775306587 date "2017-01-01" @default.
- W2775306587 modified "2023-09-26" @default.
- W2775306587 title "Performance of Elephant Herding Optimization Algorithm on CEC 2013 Real Parameter Single Objective Optimization" @default.
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