Genetic algorithm for constrained global optimization in continuous variables

We present a stochastic global optimization algorithm, referred to as a Genetic Algorithm (GA), for solving constrained optimization problems over a compact search domain. It is a real-coded GA that converges in probability to the optimal solution. The constraints are treated through a repair operat...

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Main Authors: Dhiranuch Bunnag, Min Sun
格式: 雜誌
出版: 2018
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在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=28544431906&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62287
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