Opposition-based Magnetic Optimization Algorithm with parameter adaptation strategy
نویسندگان
چکیده
منابع مشابه
Opposition-based Magnetic Optimization Algorithm with parameter adaptation strategy
Magnetic Optimization Algorithm (MOA) has emerged as a promising optimization algorithm that is inspired by the principles of magnetic field theory. In this paper we improve the performance of the algorithm in two aspects. First an Opposition-Based Learning (OBL) approach is proposed for the algorithm which is applied to the movement operator of the algorithm. Second, by learning from the algor...
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ژورنال
عنوان ژورنال: Swarm and Evolutionary Computation
سال: 2016
ISSN: 2210-6502
DOI: 10.1016/j.swevo.2015.09.001