A Novel Quad Harmony Search Algorithm for Grid-based Path Finding Regular Paper

作者：Koceski Saso^*; Panov Stojanche; Koceska Natasa; Zobel Pierluigi Beomonte; Durante Francesco

来源：International Journal of Advanced Robotic Systems, 2014, 11(9): 144.

DOI：10.5772/58875

• Heuristic Algorithms
• Artificial Intelligence
• Computational Intelligence
• Optimization
• Path Planning

A novel approach to the problem of grid-based path finding has been introduced. The method is a block-based search algorithm, founded on the bases of two algorithms, namely the quad-tree algorithm, which offered a great opportunity for decreasing the time needed to compute the solution, and the harmony search (HS) algorithm, a meta-heuristic algorithm used to obtain the optimal solution. This quad HS algorithm uses the quad-tree decomposition of free space in the grid to mark the free areas and treat them as a single node, which greatly improves the execution. The results of the quad HS algorithm have been compared to other metaheuristic algorithms, i.e., ant colony, genetic algorithm, particle swarm optimization and simulated annealing, and it was proved to obtain the best results in terms of time and giving the optimal path.

• 出版日期2014-9-9