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Title

A Novel Metaheuristic Algorithm based on Fibonacci Sequence

Author

Khalid Abdel wahab ali qora, Prof.Dr.E.A.Zanaty

Citation

Vol. 18  No. 4  pp. 44-46

Abstract

a novel metaheuristic algorithm based on fibonacci sequence and swarm intelligence is proposed. Swarm intelligence is a collective intelligence of groups of simple agents deals with collective behaviors of decentralized and self-organized swarms, which result from the local interactions of individual components with one another and with their environment. The ratio of each successive pair of numbers in the Fibonacci sequence approximates Phi (1.618. . .). Phi is introduced to influence the convergence speed of proposed algorithm. Standard deviation can ensure the dispersion of the population to prevent premature convergence. The simulation results using Benchmark functions show that the proposed algorithm is effective.

Keywords

metaheuristic Fibonacci sequence swarm standard deviation Pso

URL

http://paper.ijcsns.org/07_book/201804/20180407.pdf