Population Control in Evolutionary Algorithms: Review and Comparison
| Autor: | Weiguo Sheng, Ling Yang, Yuyang Guan |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021103 operations research
Parameter control Computer science business.industry Population size 0211 other engineering and technologies Evolutionary algorithm 02 engineering and technology Machine learning computer.software_genre Population control Evolutionary computation Range (mathematics) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Artificial intelligence business computer Evolutionary programming |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811071782 BIC-TA |
| DOI: | 10.1007/978-981-10-7179-9_13 |
| Popis: | Population size in evolutionary algorithms (EAs) is critical for their performance. In this paper, we first give a comprehensive review of existing population control methods. Then, a few representative methods are selected and empirically compared on a range of well-known benchmark functions to show their pros and cons. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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