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Solving randomly generated constraint satisfaction problems using a micro-evolutionary hybrid that evolves a population of hill-climbers

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3 Author(s)
Dozier, G. ; Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA ; Bowen, J. ; Bahler, D.

This paper introduces a new micro-evolutionary search technique which combines the concept of evolutionary searching with the systematic search concept of hill climbing to form a hybrid that quickly find solutions to constraint satisfaction problems. This new hybrid outperforms a well-known hill climber, the iterative descent method (IDM), on a test suite of 750 randomly-generated constraint satisfaction problems

Published in:
Evolutionary Computation, 1995., IEEE International Conference on  (Volume:2 )

Date of Conference: 29 Nov-1 Dec 1995

Page(s):
614 - 619 vol.2
Meeting Date :
29 Nov 1995-01 Dec 1995
Print ISBN:
0-7803-2759-4
INSPEC Accession Number:
5250192
Conference Location :
Perth, WA
Digital Object Identifier :
10.1109/ICEC.1995.487454

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