Title :
Improved combined mutation clonal selection algorithm
Author :
Paw, Johnny Koh Siaw ; Chong Kok Hen ; Koo Wai Yan ; Yong Sue Ann
Author_Institution :
Dept. of Electron. & Commun. Eng., Univ. Tenaga Nasional, Kajang, Malaysia
Abstract :
In this paper, the performance of a clonal selection optimization algorithm implementing a combined mutation strategy using Gaussian and Cauchy mutations was further improved with the addition of two new operators, namely the Cell Repair Operator (CPO) and Dynamic Mutation Size Operator (DMSO). The new and improved algorithm was tested using various unimodal and multimodal test functions to illustrate the improvements of the algorithm. The test results indicate that the added operators have significantly improved the performance of the algorithm in terms of accuracy and performance.
Keywords :
cellular biophysics; optimisation; CPO; Cauchy mutations; DMSO; Gaussian mutations; cell repair operator; clonal selection optimization algorithm; combined mutation clonal selection algorithm; dynamic mutation size operator; multimodal test functions; unimodal test functions; Cloning; Heuristic algorithms; Immune system; Maintenance engineering; Optimization; Sociology; Statistics; Clonal Selection Algorithm; Exploration and Exploitation; Fast Convergence;
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1649-1
Electronic_ISBN :
1985-5753
DOI :
10.1109/STUDENT.2012.6408402