Performance evaluation of Black Hole Algorithm, Gravitational Search Algorithm and Particle Swarm Optimization

Performance evaluation of Black Hole Algorithm, Gravitational Search Algorithm and Particle Swarm Optimization

Particle Swarm Optimization (PSO) and Gravitational Search Algorithm are a well known population-based heuristic optimization techniques. PSO is inspired from a motion flock of birds searching for a food. In PSO, a bird adjusts its position according to its own ‘‘experience’’ as well as the experien...

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Bibliografiska uppgifter
Huvudupphovsmän: Zuwairie, Ibrahim, Mohamad Nizam, Aliman, Fardila, Naim, Sophan Wahyudi, Nawawi, Shahdan, Sudin
Materialtyp: Artikel
Språk:English
Publicerad: UTM Press 2015
Ämnen:
TK Electrical engineering. Electronics Nuclear engineering
Länkar:http://umpir.ump.edu.my/id/eprint/9269/1/Performance%20evaluation%20of%20Black%20Hole%20Algorithm%2C%20Gravitational%20Search%20Algorithm%20and%20Particle%20Swarm%20Optimization.pdf

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