Publication Date:
2013-09-06
Description:
Intelligent computing has attracted many scientists, decision makers, and practicing researchers in recent years as powerful and novel intelligent techniques for solving unlimited number of complex real-world problems, particularly related to research area of optimization. Under the unpredictable and fuzzy environment, classical and traditional approaches are unable to obtain a complete solution with satisfaction for the practical optimization problems. Therefore, new global optimization methods are required to properly handle these issues. One of such methods is hybrid evolutionary computation, which is a generic, flexible, robust, and versatile method for solving the complex global optimization problems as well as implementing to practical applications. Content Type Journal Article Pages 179-190 DOI 10.3233/HIS-130175 Authors Pandian Vasant, Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Malaysia. E-mail: pvasant@gmail.com Journal International Journal of Hybrid Intelligent Systems Online ISSN 1875-8819 Print ISSN 1448-5869 Journal Volume Volume 10 Journal Issue Volume 10, Number 4 / 2013
Print ISSN:
1448-5869
Electronic ISSN:
1875-8819
Topics:
Computer Science
