Title

Evolution Of Sensor Suites For Complex Environments

Abstract

We present a genetic algorithm (GA) based decision tool for the design and configuration of teams of unmanned ground sensors. The goal of the algorithm is to generate candidate solutions that meet cost and performance constraints. The GA evolves the membership, placement, and characteristics of a team of cooperating sensors. Previous work shows that this algorithm can generate successful teams in simple, obstacle free environments. This work examines the performance of our algorithm in environments that include obstacles. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Number of Pages

590-595

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

34250194307 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34250194307

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