PMT: Opposition-Based Learning Technique for Enhancing Meta-Heuristic Performance
نویسندگان
چکیده
منابع مشابه
STATIC AND DYNAMIC OPPOSITION-BASED LEARNING FOR COLLIDING BODIES OPTIMIZATION
Opposition-based learning was first introduced as a solution for machine learning; however, it is being extended to other artificial intelligence and soft computing fields including meta-heuristic optimization. It not only utilizes an estimate of a solution but also enters its counter-part information into the search process. The present work applies such an approach to Colliding Bodies Optimiz...
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27 28 29 30 31 32 33 34 35 36 Article history: Received 11 March 2014 Received in revised form 14 August 2014 Accepted 7 November 2014 Available online xxxx
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2925088