Asanga Ratnaweera

Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #7,812 of 35,345 by trust here, #12,974 by citations

Whom Asanga Ratnaweera trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Eberhart
2. Yuhui Shi
3. James Kennedy
4. Xiao-Feng Xie
5. Wenjun Zhang

Who trusts Asanga Ratnaweera overall

1. Zhi-hui Zhan
2. Zahra Beheshti
3. Jun Zhang
4. Weifeng Gao
5. Pinar Çivicioglu
6. Mohammad Reza Bonyadi
7. Hao Gao
8. Swagatam Das
9. Praveen Kumar Tripathi
10. Alec Banks

Papers from Asanga Ratnaweera's perspective

Ordered by how strongly the researchers Asanga Ratnaweera trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparison between Genetic Algorithms and Particle Swarm Optimization
2. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
3. Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
4. Particle swarm optimization: developments, applications and resources (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
5. Dissipative particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
6. Particle swarm optimization with Gaussian mutation (Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706))
7. Use of intelligent-particle swarm optimization in electromagnetics. IEEE Trans Mag
8. Stereotyping: improving particle swarm performance with cluster analysis (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
9. Genetic Programming: On the Programming of Computers by Means of Natural Selection
10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers

• Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (2004) — 3,011 citations