Jonathan Vincent
Artificial Intelligence · 2007–2008
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #22,864 of 35,345 by trust here, #18,186 by citations
- Computational Theory and Mathematics — 12 citations into it; #7,699 of 12,182 by trust here, #4,059 by citations
- Biomedical Engineering — 6 citations into it
Whom Jonathan Vincent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- Frans van den Bergh
- Xiaohui Hu
- James Kennedy
- Andries Petrus Engelbrecht
- Carlos Artemio Coello Coello
- Ioan Cristian Trelea
- Zwe-Lee Gaing
- Konstantinos E. Parsopoulos
- David Hilton Wolpert
Who trusts Jonathan Vincent overall
Papers from Jonathan Vincent's perspective
Ordered by how strongly the researchers Jonathan Vincent trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- No free lunch theorems for optimization
- Genetic Algorithms in Search Optimization and Machine Learning
- Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
- The particle swarm optimization algorithm: convergence analysis and parameter selection (Information Processing Letters)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Stereotyping: improving particle swarm performance with cluster analysis (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- Flocks, herds, and schools: a distributed behavioral model
- Adapting Particle Swarm Optimizationto Dynamic Environments