A hybrid cross-entropy guided genetic algorithm for scheduling multi-energy systems

A hybrid cross-entropy guided genetic algorithm for scheduling multi-energy systems

This investigation develops a novel hybrid fast converging Cross-Entropy Genetic Algorithm technique for scheduling of multi-energy system (MES). The scheduling problem is a mixed integer non-linear programming problem with non-linear and non-convex constraints, due to switching and non-linear dynam...

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書目詳細資料
Main Authors:	Dan, Mainak, Srinivasan, Seshadhri, Sundaram, Suresh
其他作者:	School of Computer Science and Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2020
主題:	Engineering::Computer science and engineering Cross Entropy Method Hybrid Real-coded Genetic Algorithm
在線閱讀:	https://hdl.handle.net/10356/142997
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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