Springer
Table of ContentsAuthor IndexSearch

Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms

T.Q.S. Truong1 and A. Stacey2

1Air Operations Division
Defence Science and TechnologyOrganisation
Melbourne, Australia
tracy.truong@dsto.defence.gov.au

2Mathematics Department
RMIT University
Melbourne, Australia
stacey@rmit.edu.au

Abstract. The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is intrinsically difficult to solve. Thomas et al [1] considered the effectiveness of three standard NATO search paths [2] for this type of problem. In this paper a genetic algorithm is used to show that more effective search paths exist. In addition it is shown that genetic algorithms can be effective in finding a near optimal path of length $196$ when searching a $14 \times 14$ cell area, that is a search space of $10^{100}.$ ...

LNCS 2724, p. 2422 ff.

Full article in PDF


lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003