A new hybrid cuckoo search and firefly optimization

Elkhechafi Mariam (), Hachimi Hanaa () and Elkettani Youssfi ()
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Elkhechafi Mariam: Department of Mathematics, Ibn Tofail University, B.P 241, Kenitra, Morocco
Hachimi Hanaa: National School of Applied Sciences, Ibn Tofail University, B.P 242, Kenitra, Morocco
Elkettani Youssfi: Department of Mathematics, Ibn Tofail University, B.P 241, Kenitra, Morocco

Monte Carlo Methods and Applications, 2018, vol. 24, issue 1, 71-77

Abstract: In this paper, we present a new hybrid algorithm which is a combination of a hybrid Cuckoo search algorithm and Firefly optimization. We focus in this research on a hybrid method combining two heuristic optimization techniques, Cuckoo Search (CS) and Firefly Algorithm (FA) for the global optimization. Denoted as CS-FA. The hybrid CS-FA technique incorporates concepts from CS and FA and creates individuals in a new generation not only by random walk as found in CS but also by mechanisms of FA. To analyze the benefits of hybridization, we have comparatively evaluated the classical Cuckoo Search and Firefly Algorithms versus the proposed hybridized algorithms (CS-FA).

Keywords: Optimization; metaheuristics; hybrid algorithms; Cuckoo Search; Firefly Algorithm (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:24:y:2018:i:1:p:71-77:n:3

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DOI: 10.1515/mcma-2018-0003

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