NDLI: Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Content Provider	IEEE Xplore Digital Library
Author	Rotaru, C. Brudaru, O.
Copyright Year	2012
Description	Author affiliation: Institute of Computer Science, Romanian Academy, Iaşi Branch; “Gh. Asachi” Technical University of Iaşi, Romania (Brudaru, O.) \|\| “Al. I. Cuza” University of Iaşi, Faculty of Computer Science, Romania (Rotaru, C.)
Abstract	This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm. The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. Two feature functions are used to measure the similarity between chromosomes. The approach considers multiple parallel evolving grids. A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution. The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm. The approach systematically produces better results than the used basic genetic algorithm and better or similar results with other heuristic methods.
Starting Page	1
Ending Page	8
File Size	1064302
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6256590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Boolean functions Data structures Genetic algorithms Vectors Genetics Input variables search space exploration and exploitation multi-grid cellular genetic algorithm simmilarity preserving communication distributed implementation
Content Type	Text
Resource Type	Article

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