Title
A hybrid parallel evolutionary algorithm based on elite-subspace strategy and space transformation search
Abstract
In this paper, we present a new Hybrid Parallel Evolutionary Algorithm. It is based on Elite-subspace Strategy and combined with Space Transformation Search strategy to solve systems of non-linear equations. Verified by numerical experiments, our algorithm present an outstanding universal characteristics and superior convergence as well. All of the solutions can be obtained within a short period of time.
Year
DOI
Venue
2009
10.1007/978-3-642-11842-5_18
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Keywords
Field
DocType
hybrid parallel evolutionary algorithm,superior convergence,short period,space transformation search strategy,numerical experiment,elite-subspace strategy,outstanding universal characteristic,new hybrid parallel evolutionary,space transformation search,non-linear equation,evolutionary algorithm,linear equations
Convergence (routing),Mathematical optimization,Search algorithm,Subspace topology,Evolutionary algorithm,Computer science,Algorithm,Cultural algorithm,Evolutionary programming,Difference-map algorithm,Best-first search
Conference
Volume
Issue
ISSN
5938 LNCS
null
16113349
ISBN
Citations 
PageRank 
3-642-11841-0
2
0.35
References 
Authors
4
4
Name
Order
Citations
PageRank
Xiaojian Dong1140.90
Yu Song235652.74
Zhijian Wu331321.20
Zhangxing Chen4132.95