TY - CHAP
T1 - A multi-agent decision support system for path planning under reciprocal constraints
AU - Weiss-Cohen, Miri
AU - Avigad, Gideon
AU - Eisenstadt, Erella
PY - 2012
Y1 - 2012
N2 - This paper formulizes and solves a special class of trajectory optimization problems focusing on the optimization of different kind of agents which are coupled through reciprocal constraints. Searching for a solution to the problem at hand may not only stipulate planning a longer path for each agent, but also choosing slower travel speeds in order to coordinate multiple paths. A novel approach is formulated which uses the representation of a path by a telescopic antenna. The length and orientation of the antenna's sections are evolved by a genetic algorithm. The approach is demonstrated and studied through solving and simulating several path-planning problems.
AB - This paper formulizes and solves a special class of trajectory optimization problems focusing on the optimization of different kind of agents which are coupled through reciprocal constraints. Searching for a solution to the problem at hand may not only stipulate planning a longer path for each agent, but also choosing slower travel speeds in order to coordinate multiple paths. A novel approach is formulated which uses the representation of a path by a telescopic antenna. The length and orientation of the antenna's sections are evolved by a genetic algorithm. The approach is demonstrated and studied through solving and simulating several path-planning problems.
UR - http://www.scopus.com/inward/record.url?scp=84879257981&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29977-3_5
DO - 10.1007/978-3-642-29977-3_5
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AN - SCOPUS:84879257981
SN - 9783642299766
T3 - Smart Innovation, Systems and Technologies
SP - 45
EP - 54
BT - Intelligent Decision Technologies
A2 - Lakhmi, Jain
A2 - Robert, Howlett
A2 - Junzo, Watada
A2 - Toyohide, Watanabe
A2 - Phillips-Wren, Gloria
ER -