Assessment of evolutionary programming, firefly algorithm and cuckoo search algorithm in single-objective optimization

This paper presents an assessment of different computational intelligences, i.e evolutionary algorithm (EP), firefly algorithm (FA) and cuckoo search algorithm (CSA) for solving single-objective optimization problem. Recently, these algorithms have been widely used and applied to solve different types of optimization problems. However, the performance of these optimization algorithms have not been compared against each other based on certain benchmark functions. In this study, four test functions are used to evaluate the optimization performance of EP, FA and CSA. The results showed that CSA produced the best fitness value with lowest computation time when compared with EP and FA.

[1]  Saeed Tavakoli,et al.  Improved cuckoo search for reliability optimization problems , 2013, Comput. Ind. Eng..

[2]  Xin-She Yang,et al.  Firefly algorithm with chaos , 2013, Commun. Nonlinear Sci. Numer. Simul..

[3]  Abdul Rahman Titik Khawa,et al.  Comparing the network performance between the installation of DG and compensating capacitor using EP , 2008 .

[4]  P. K. Chattopadhyay,et al.  Evolutionary programming techniques for economic load dispatch , 2003, IEEE Trans. Evol. Comput..

[5]  Ismail Musirin,et al.  Assessment of evolutionary programming models for single-objective optimization , 2013, 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).

[6]  Dragan Savic,et al.  Single-objective vs. Multiobjective Optimisation for Integrated Decision Support , 2002 .

[7]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms: Second Edition , 2010 .

[8]  Z. N. Zakaria,et al.  Firefly Algorithm technique for solving Economic Dispatch problem , 2012, 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia.

[9]  D. P. Kothari,et al.  Power system optimization , 2004, 2012 2nd National Conference on Computational Intelligence and Signal Processing (CISP).

[10]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[11]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for photovoltaic applications: A review , 2008 .

[12]  A. Gandomi,et al.  Mixed variable structural optimization using Firefly Algorithm , 2011 .

[13]  Xiao-Shan Gao,et al.  Evolutionary programming based on non-uniform mutation , 2007, Appl. Math. Comput..

[14]  C. Christober Asir Rajan,et al.  Application of Firefly Algorithm in Voltage Stability Environment Incorporating Circuit Element Model of SSSC with Variable Susceptance Model of SVC , 2014 .

[15]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for sizing photovoltaic systems: A review , 2009 .

[16]  Ramin Rajabioun,et al.  Cuckoo Optimization Algorithm , 2011, Appl. Soft Comput..