Year |
Citation |
Score |
2009 |
Shi Y, Eberhart RC. Monitoring of particle swarm optimization Frontiers of Computer Science in China. 3: 31-37. DOI: 10.1007/S11704-009-0008-4 |
0.587 |
|
2006 |
Kassebaum JA, Foresman BH, Talavage TM, Eberhart RC. Observations from chaotic analysis of sleep EEGs. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 2126-9. PMID 17945694 DOI: 10.1109/IEMBS.2006.259999 |
0.582 |
|
2004 |
Eberhart RC, Shi Y. Guest Editorial Special Issue on Particle Swarm Optimization Ieee Transactions On Evolutionary Computation. 8: 201-203. DOI: 10.1109/Tevc.2004.830335 |
0.365 |
|
2004 |
Xiao X, Dow ER, Eberhart R, Miled ZB, Oppelt RJ. A hybrid self-organizing maps and particle swarm optimization approach: Research Articles Concurrency and Computation: Practice and Experience. 16: 895-915. DOI: 10.1002/Cpe.V16:9 |
0.338 |
|
2004 |
Xiao X, Dow ER, Eberhart R, Ben Miled Z, Oppelt RJ. A hybrid self-organizing maps and particle swarm optimization approach Concurrency and Computation: Practice and Experience. 16: 895-915. DOI: 10.1002/Cpe.812 |
0.303 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. chapter eleven – And in Conclusion... Swarm Intelligence. 421-428. DOI: 10.1016/B978-155860595-4/50011-5 |
0.567 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Implications and Speculations Swarm Intelligence. 393-419. DOI: 10.1016/B978-155860595-4/50010-3 |
0.625 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. chapter nine – Applications Swarm Intelligence. 369-392. DOI: 10.1016/B978-155860595-4/50009-7 |
0.59 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Variations and Comparisons Swarm Intelligence. 327-368. DOI: 10.1016/B978-155860595-4/50008-5 |
0.604 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. chapter seven – The Particle Swarm Swarm Intelligence. 287-325. DOI: 10.1016/B978-155860595-4/50007-3 |
0.636 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Humans—Actual, Imagined, and Implied Swarm Intelligence. 187-259. DOI: 10.1016/B978-155860595-4/50005-X |
0.569 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Evolutionary Computation Theory and Paradigms Swarm Intelligence. 133-185. DOI: 10.1016/B978-155860595-4/50004-8 |
0.593 |
|
2001 |
Kennedy J, Eberhart RC. chapter three – On Our Nonexistence as Entities: The Social Organism Swarm Intelligence. 81-132. DOI: 10.1016/B978-155860595-4/50003-6 |
0.354 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Symbols, Connections, and Optimization by Trial and Error Swarm Intelligence. 35-79. DOI: 10.1016/B978-155860595-4/50002-4 |
0.588 |
|
2001 |
Kennedy J, Eberhart RC, Shi Y. Models and Concepts of Life and Intelligence Swarm Intelligence. 3-34. DOI: 10.1016/B978-155860595-4/50001-2 |
0.578 |
|
1999 |
Shi Y, Eberhart R, Chen Y. Implementation of evolutionary fuzzy systems Ieee Transactions On Fuzzy Systems. 7: 109-119. DOI: 10.1109/91.755393 |
0.552 |
|
1998 |
Eberhart RC, Shi Y. Comparison between genetic algorithms and particle swarm optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1447: 611-616. DOI: 10.1007/Bfb0040812 |
0.616 |
|
1998 |
Shi Y, Eberhart RC. Parameter selection in particle swarm optimization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1447: 591-600. DOI: 10.1007/Bfb0040810 |
0.588 |
|
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