Title | ||
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A hybrid parallel evolutionary algorithm based on elite-subspace strategy and space transformation search |
Abstract | ||
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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 Dong | 1 | 14 | 0.90 |
Yu Song | 2 | 356 | 52.74 |
Zhijian Wu | 3 | 313 | 21.20 |
Zhangxing Chen | 4 | 13 | 2.95 |