Co-adapting Mobile Sensor Networks to Maximize Coverage in Dynamic Environments

被引：0
|
作者：
De Rainville, Francois-Michel [1 ]
Gagne, Christian [1 ]
Laurendeau, Denis [1 ]
机构：
[1] Univ Laval, Dept Genie Elect & Genie Informat, Lab Vis & Syst Numer, Quebec City, PQ G1V 0A6, Canada
来源：
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12) | 2012年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Cooperative co-evolution; swarm robotics; mobile sensor network; static and dynamic environment; visibility;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With recent advances in mobile computing, swarm robotics has demonstrated its utility in countless situations like recognition, surveillance, and search and rescue. This paper presents a novel approach to optimize the position of a swarm of robots to accomplish sensing tasks based on cooperative co-evolution. Results show that the introduced cooperative method simultaneously finds the right number of sensors while also optimizing their positions in static and dynamic environments.
引用
收藏
页码：1409 / 1410
页数：2
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