ANALYSIS OF MODERN TECHNIQUES FOR SOFTWARE OPTIMIZATION
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.10, No. 7)Publication Date: 2021-07-30
Authors : Okardi Biobele; Ojekudo Nathaniel Akofure;
Page : 46-55
Keywords : Optimization techniques; Genetic Algorithm; Ant colony; Honey Bee Algorithm; Annealing; Traditional Method; Artificial Intelligent Techniques;
Abstract
Traditional Methods of optimization have failed to meet up the rapid changing world in the demand of high quality and accuracy in solution delivery. Optimization literally means looking for the best possible or most desired solution to a problem. Optimization techniques are basically classified into three groups, namely; the Traditional Method, Artificial Intelligent Method, and Hybrid Artificial Intelligent technique. In this paper, an attempt is made to review literatures on different modern optimization techniques for application in various disciplines. A general review was made on some of the modern optimization methods such as Genetic Algorithm, Ant colony method, Honey Bee optimization method, and Simulated Annealing optimization.
Other Latest Articles
- TOURISM MARKETING STRATEGIES IN UTILIZING INSTAGRAMMABLE SPOTS OF MOUNT PAPANDAYAN TOURISM IN INDONESIA
- PERFORMANCE OF MICROFINANCE BANKS IN ENHANCING THE SUGAR CANE GROWING CAPACITY AND ITS IMPACT ON SUGAR INDUSTRY OF SINDH
- OUTCOMES AND IMPLICATIONS OF CIRP UNDER THE INSOLVENCY AND BANKRUPTCY CODE
- ANALYSIS OF OUTCOMES OF IBC ON MANAGING THE ECONOMIC DEVELOPMENT OF INDIA
- MANAGEMENT OF BUSINESS REENGINEERING AND RE-STRUCTURING UNDER INSOLVENCY AND BANKRUPTCY CODE: LESSONS FROM INDIAN EXPERIENCE
Last modified: 2021-07-24 18:56:47