Back to Search
Start Over
A Hybrid Chaos Search Electromagnetism-like Mechanism Algorithm
- Source :
- Journal of Information and Computational Science. 11:2059-2068
- Publication Year :
- 2014
- Publisher :
- Binary Information Press, 2014.
-
Abstract
- The optimization of the Electromagnetism-like Mechanism (EM) algorithm is analyzed, and a Hybrid Chaos Search (CS) Electromagnetism-like Mechanism Algorithm (CEM) is proposed in this paper. The new algorithm combines the advantages of both the CS method and the EM algorithm. To make the initial population more uniform, the CEM algorithm constructs it with the theory of good point set in number theory. The CS method, rather than the random linear search algorithm, is used in the new algorithm, which can effectively prevent the search process from terminating prematurely. Besides, an adaptive movement is used in the improved algorithm to speed up convergence, and a genetic coefficient is added to the update formula to update the locations of particles so that the particles are more likely to move into the other feasible regions. Experimental results show that the improved algorithm can converge to global optimums more effectively and accurately.
- Subjects :
- Mathematical optimization
Push–relabel maximum flow algorithm
Population-based incremental learning
Best-first search
Library and Information Sciences
Computer Graphics and Computer-Aided Design
Hybrid algorithm
Computational Theory and Mathematics
Ramer–Douglas–Peucker algorithm
Search algorithm
Difference-map algorithm
Algorithm
Information Systems
FSA-Red Algorithm
Mathematics
Subjects
Details
- ISSN :
- 15487741
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Information and Computational Science
- Accession number :
- edsair.doi...........8ab4580b2d034b2baca5b3bb6fe0b238