Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization

Authors

  • Gobind Preet Singh Guru Gobind Singh Indraprastha University
  • Abhay Singh Guru Gobind Singh Indraprastha University

Keywords:

Metaheuristic Algorithm, Krill Herd Algorithm, Firefly Algorithm, Cuckoo Search Algorithm, Unimodal Optimization, Multimodal Optimization

Abstract

Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various metaheuristic methods can be used for finding the solution in a large search space.These methods can be explained as iterative search processes that efficiently perform the exploration and exploitation in the solution space. In this context, three such nature inspired metaheuristic algorithms namely Krill Herd Algorithm (KH), Firefly Algorithm (FA) and Cuckoo search Algorithm (CS) can be used to find optimal solutions of various mathematical optimization problems. In this paper, the proposed algorithms were used to find the optimal solution of fifteen unimodal and multimodal benchmark test functions commonly used in the field of optimization and then compare their performances on the basis of efficiency, convergence, time and conclude that for both unimodal and multimodal optimization Cuckoo Search Algorithm via Lévy flight has outperformed others and for multimodal optimization Krill Herd algorithm is superior than Firefly algorithm but for unimodal optimization Firefly is superior than Krill Herd algorithm.

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Author Biographies

Gobind Preet Singh, Guru Gobind Singh Indraprastha University

Student,Computer Science Engineering

Abhay Singh, Guru Gobind Singh Indraprastha University

Student,Computer Science Engineering

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Published

01.07.2014

How to Cite

Singh, G. P., & Singh, A. (2014). Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization. International Journal of Intelligent Systems and Applications in Engineering, 2(3), 26–37. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/77

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Section

Research Article