NDLI: Optimal routing of multiple autonomous underwater vehicles through evolutionary programming

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Optimal routing of multiple autonomous underwater vehicles through evolutionary programming

Content Provider	IEEE Xplore Digital Library
Author	Fogel, D.B. Fogel, L.J.
Copyright Year	1990
Description	Author affiliation: Orincon Corp., San Diego, CA, USA (Fogel, D.B.; Fogel, L.J.)
Abstract	Evolutionary programming is all inductive reasoning process wherein randomness is selectively incorporated to build a logic that meets the challenges posed by the environment. A demonstration of evolutionary optimization in the domain of routing multiple autonomous underwater vehicle (AUVs) is indicated. A series of experiments of increasing complexity were designed to evaluate the potential of evolutionary programming for AUV routing. In the experiments, the evolutionary algorithm was given no knowledge about the problem itself, only information concerning the relative worth of its proposed solutions. It is evident from the experimental results that sophisticated genetic operators are not required to ensure successful adaptation. The experiments only involved two-dimensional routings with relatively simple constraints. The experiments were performed off-line, that is, an entire solution to the routing problem at hand was generated assuming a fixed environment.<>
Starting Page	44
Ending Page	47
File Size	297411
Page Count	4
File Format	PDF
DOI	10.1109/AUV.1990.110436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-06-05
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Routing Underwater vehicles Genetic programming Automata Traveling salesman problems Cities and towns Logic programming Genetic mutations Dynamic programming Remotely operated vehicles
Content Type	Text
Resource Type	Article

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