A comparative study of evolutionary optimization techniques in dynamic environments
8th Annual Genetic and Evolutionary Computation Conference 2006, Seattle, WA, Amerika Birleşik Devletleri, 8 - 12 Temmuz 2006, cilt.2, ss.1397-1398, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2
- Doi Numarası: 10.1145/1143997.1144213
- Basıldığı Şehir: Seattle, WA
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.1397-1398
- Anahtar Kelimeler: Dynamic Environments, Genetic Algorithms, Multimodal Optimization, Performance Evaluation
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and improving the performance of these algorithms in dynamic environments where the fitness landscape changes. In this study, we present an extensive comparison of several algorithms with different characteristics on a common platform by using the moving peaks benchmark and by varying problem parameters.