首页|Reports Outline Robotics Study Results from University of Putra Malaysia (Nsga-I ii Algorithm for Optimizing Robot Collaborative Task Allocation In the Internet of Things Environment)
Reports Outline Robotics Study Results from University of Putra Malaysia (Nsga-I ii Algorithm for Optimizing Robot Collaborative Task Allocation In the Internet of Things Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news reporting originating from Serdang,Malaysia, by NewsRx correspondent s, research stated, “To improve the performance of intelligentproducts and reas onably distribute the load of the loading robot, a multi-objective, and multi-ob jective(Traveling-salesman-problem, TSP) mathematical model was established. A genetic algorithm based onspeed invariant and the elite algorithm is proposed t o solve the multi-TSP assignment problem.”
SerdangMalaysiaAsiaAlgorithmsEme rging TechnologiesMachine LearningRobotRoboticsUniversity of Putra Malay sia
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