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http://dx.doi.org/10.7583/JKGS.2019.19.6.83

Path Optimize Research used Ray-Tracing Algorithm in Heuristic-based Genetic Algorithm Pathfinding  

Ko, Jung-Woon (Dept. of Game Design, Kongju National University)
Lee, Dong-Yeop (Dept. of Game Design, Kongju National University)
Publication Information
Journal of Korea Game Society / v.19, no.6, 2019 , pp. 83-90 More about this Journal
Abstract
Heuristic based Genetic Algorithm Pathfinding(H-GAP), a method without the need for node and edge information, can compensate the disadvantages of existing pathfinding algorithm, and perform the path search at high speed. However, because the pathfinding by H-GAP is non-node-based, it may not be an optimal path when it includes unnecessary path information. In this paper, we propose an algorithm to optimize the search path using H-GAP. The proposed algorithm optimizes the path by removing unnecessary path information through ray-tracing algorithm after the H-GAP path search is completed.
Keywords
Heuristic; Genetic Algorithm; Pathfinding; Path Optimize; Ray-Tracing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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