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    Optimal A∗ Path Planning with Ant Colony Optimization on Multi-Robot Task Allocation for Manufacturing Model
    (2021-04-23)
    Praserttaweelap, Rawinun
    ;
    Kiatwanidvilai, Somyot
    This paper presents the optimal path planning by using A∗ with ant colony optimization based on the multi-robot systems. The purpose of this research is to design an appropriate path planning model for manufacturing. The safety path and the processing time are the priority of the manufacturing. The main contribution of this study is the A∗ for path planning with the ant colony optimization for the lowest risk of collision (RC) searching. The 5 robots condition is the best condition for the minimum RC and the minimum processing time. The simulation results represent the suitable path planning prediction model for manufacturing systems.
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    Improved Ant Colony Optimization with Local Search for Traveling Salesman Problem
    (2019-07-01)
    Thammano, Arit
    ;
    Oonsrikaw, Yindee
    Improved Ant Colony Optimization (IACO) with a local search algorithm is proposed for better finding near optimal solution of Traveling Salesman Problem (TSP). In this work, IACO was combined with each of four local search operators in order to enhance IACO exploration capacity. The performances of IACO and the four local search were comparatively tested on a set of benchmark symmetric TSP instances. The experimental results show that IACO.