GSA-LA: gravitational search algorithm based on learning automata
| Autor: | Mehdi Alirezanejad, Hossein Nematzadeh, Rasul Enayatifar, Homayun Motameni |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Learning automata
Physics::Instrumentation and Detectors business.industry Computer science 020209 energy Gravitational search algorithm 02 engineering and technology Theoretical Computer Science Local optimum Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Software |
| Zdroj: | Journal of Experimental & Theoretical Artificial Intelligence. 33:109-125 |
| ISSN: | 1362-3079 0952-813X |
| DOI: | 10.1080/0952813x.2020.1725650 |
| Popis: | Regardless of the performance of gravitational search algorithm (GSA), it is nearly incapable of avoiding local optima in high-dimension problems. To improve the accuracy of GSA, it is necessary to... |
| Databáze: | OpenAIRE |
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