229 / 2017-01-14 16:36:27
Task Scheduling of Automobile Robots using travelling Salesman Problem with Genetic algorithm search technique
Travelling Salesman Problem (TSP),Genetic algorithm (GA),2452,Task scheduling,Cooperative control
全文录用
Saroj Lenka / Mody University, Lakshmangarh, India
Sasmita Nayak / Government College of Engineering, Kalahandi,Odisha,India
B Choudhury / Dept. of Mech. Engg., IGIT, Sarang, Odisha, India
Static task scheduling is one of the core steps to effectively exploit the capability of cooperative control for getting shortest path with minimize the completion time. In this paper, we present a new task scheduling algorithm that is based on Travelling Salesman Problem (TSP) with Genetic Algorithm (GA) search technique for robots. TSP finds an optimal solution to search for the shortest route for completing the required tasks by setting up GA. We discuss the adaption and implementation of the GA search strategy to the task scheduling problem in the cooperative control of multiple resources for getting shortest path with minimize the completion time. Simulation results indicate that the GA strategy is a feasible approach for the task scheduling problem.
重要日期
  • 会议日期

    03月22日

    2017

    03月24日

    2017

  • 02月15日 2017

    初稿截稿日期

  • 02月20日 2017

    初稿录用通知日期

  • 02月22日 2017

    终稿截稿日期

  • 03月24日 2017

    注册截止日期

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