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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Bibliographic Details
Main Authors: Zuwairie, Ibrahim, Mohamad Nizam, Aliman, Fardila, Naim, Sophan Wahyudi, Nawawi, Shahdan, Sudin
Format: Article
Language:English
Published: UTM Press 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/9269/
http://umpir.ump.edu.my/id/eprint/9269/
http://umpir.ump.edu.my/id/eprint/9269/1/Performance%20evaluation%20of%20Black%20Hole%20Algorithm%2C%20Gravitational%20Search%20Algorithm%20and%20Particle%20Swarm%20Optimization.pdf

Internet

http://umpir.ump.edu.my/id/eprint/9269/
http://umpir.ump.edu.my/id/eprint/9269/
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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