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...

詳細記述

書誌詳細
第一著者: Sallim, Jamaludin
フォーマット: 学位論文
言語:英語
出版事項: 2017
主題:
オンライン・アクセス:http://eprints.usm.my/45393/
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