Mixing Population-Based Metaheuristics: An Approach Based on a Distributed-Queue for the Optimal Design of Fuzzy Controllers
4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.839-846, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 504
- Doi Numarası: 10.1007/978-3-031-09173-5_96
- Basıldığı Şehir: Bornova
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.839-846
- Anahtar Kelimeler: Asynchronous algorithms, Fuzzy control, Population-based metaheuristics, SYSTEMS
- Yıldız Teknik Üniversitesi Adresli: Hayır
Özet
In this work, we present a distributed platform to execute multi-population metaheuristics. As proof of concept, we present an implementation using two metaheuristics: Genetic Algorithms, and Particle Swarm Optimization. We execute these multi-population algorithms asynchronously using a queue-based architecture. We optimize the parameters defining the membership functions of a rear-wheel fuzzy controller. We compare the results with a non-distributed sequential alternative and show the benefits of mixing the algorithms' populations and integrating a migration process between them.