A numerical study of some modified differential evolution algorithms |
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| Institution: | 1. School of Software, East China Jiaotong University, Jiangxi 330013, China;2. Intelligent Optimization and Information Processing Lab., East China Jiaotong University, Jiangxi 330013, China;3. School of Economics and Management, East China Jiaotong University, Jiangxi 330013, China;4. School of Computer, Wuhan University, Hubei 430079, China;1. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata 700108, India;2. School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore;1. College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China;2. School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China;1. College of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China;2. School of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, China;3. School of Information and Engineering, Sichuan Tourism University, Chengdu 610100, China;4. Faculty of Business Information, Shanghai Business School, Shanghai 200235, China;5. Key Laboratory of Intelligent Image Processing and Analysis, Wenzhou University, Wenzhou, Zhejiang 325035, China;6. Department of Endocrinology, Chongqing University Central Hospital, Key Laboratory for Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing 400014, China;7. School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China |
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| Abstract: | Modifications in mutation and localization in acceptance rule are suggested to the differential evolution algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the original differential evolution algorithm. Therefore, they offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring ‘direct search type’ methods. Numerical study is carried out using a set of 50 test problems many of which are inspired by practical applications. |
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