Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network

Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network

Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. For a s...

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書目詳細資料
主要作者:	SALLIM, JAMALUDIN
格式:	Thesis
語言:	English
出版:	2017
主題:	QA75.5-76.95 Electronic computers Computer science
在線閱讀:	http://eprints.usm.my/42907/1/JAMALUDIN__SALLIM.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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