@inproceedings{c813945f2d5f4c20aeeaf7c14284be05,
title = "FPGA-based path planning using improved Ant Colony Optimization Algorithm",
abstract = "This paper develops a novel path planning algorithm using improved ant colony optimization (ACO) and its FPGA implementation. The proposed approach can effectively increase the accuracy to generate an optimal path. The main idea of this paper is to avoid local minimum by continuous tuning of a setting parameter and the establishment of new mechanisms for opposite pheromone updating and partial pheromone updating. Experimental results show that the execution efficiency of path planning is significantly improved by full hardware design for embedded applications.",
keywords = "Ant Colony Optimization Algorithm, FPGA, Path Planning",
author = "Hsu, {Chen Chien} and Hou, {Ru Yu} and Kao, {Wen Chung} and Li, {Shih An}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015 ; Conference date: 06-09-2015 Through 09-09-2015",
year = "2016",
month = jan,
day = "25",
doi = "10.1109/ICCE-Berlin.2015.7391304",
language = "English",
series = "5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "443--444",
editor = "Flores-Arias, {Jose Maria} and Stefan Mozar and Dietmar Hepper and Bjelica, {Milan Z.} and Cycon, {Hans L.}",
booktitle = "5th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2015",
}