Recent Findings from Chongqing University of Posts and Telecommunications Provid es New Insights into Robotics (Multi-robot Task Allocation for Optional Tasks Wi th Hidden Workload: Using a Model-based Hyper-heuristic Strategy)
Recent Findings from Chongqing University of Posts and Telecommunications Provid es New Insights into Robotics (Multi-robot Task Allocation for Optional Tasks Wi th Hidden Workload: Using a Model-based Hyper-heuristic Strategy)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Chongqing, People’s R epublic of China, by NewsRx journalists, research stated, “Multi-robottask allo cation (MRTA) is a classical problem in multi-robot systems. This paper analyzes the situationswhere the objective of the robots is to minimize the time cost o f completing a certain proportion of tasksinstead of completing all tasks, i.e. , the tasks are optional.”
Key words
Chongqing/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Chong qing University of Posts and Telecommunications
NETL
NSTL