Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management

• 主要な著者: Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq
• フォーマット: 論文
• 言語: English
• 出版事項: Taylor & Francis 2017
• 主題: QA76 Computer software
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/18345/1/Performance%20Analyses%20of%20Nature-inspired%20Algorithms1.pdf; http://umpir.ump.edu.my/id/eprint/18345/; http://www.tandfonline.com/doi/abs/10.1080/10798587.2017.1334370

This paper carries out a performance analysis of major Nature-inspired Algorithms in solving the benchmark symmetric and asymmetric Traveling Salesman’s Problems (TSP). Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. After criti...