Robotics & Machine Learning Daily News2024,Issue(Aug.1) :49-50.

Researchers at China University of Petroleum (East China) Report New Data on Int elligent Systems (A Hybrid Algorithm Based On State-adaptive Slime Mold Model an d Fractional-order Ant System for the Travelling Salesman Problem)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :49-50.

Researchers at China University of Petroleum (East China) Report New Data on Int elligent Systems (A Hybrid Algorithm Based On State-adaptive Slime Mold Model an d Fractional-order Ant System for the Travelling Salesman Problem)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning - Intel ligent Systems have been published. Accordingto news reporting out of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “Theant colony optimization (ACO) is one efficient approach for solving the travelling salesman problem (TSP).Here, we propose a hybrid algorithm based on state-adaptive slim e mold model and fractional-order antsystem (SSMFAS) to address the TSP.”

Key words

Qingdao/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Algorithms/China University of Petrol eum (East China)

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文