Jonathan Edward Fieldsend
Artificial Intelligence · 2002–2007
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #28,701 of 35,345 by trust here, #25,040 by citations
- Computational Theory and Mathematics — 6 citations into it; #9,840 of 12,182 by trust here, #9,804 by citations
Whom Jonathan Edward Fieldsend trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carlos Artemio Coello Coello
- Peter J. Green
- Pedro M. Domingos
- Frans van den Bergh
- Xiaohui Hu
- Konstantinos E. Parsopoulos
- Sanaz Mostaghim
- Kalyanmoy Deb
Who trusts Jonathan Edward Fieldsend overall
- Julio E. Alvarez-Benitez
- Margarita Reyes-Sierra
- Richard M. Everson
- Carlos Artemio Coello Coello
- Xiaodong Li
- Arun Das
Papers from Jonathan Edward Fieldsend's perspective
Ordered by how strongly the researchers Jonathan Edward Fieldsend trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiobjective optimization using dynamic neighborhood particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- MOPSO: a proposal for multiple objective particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) (Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706))
- Handling multiple objectives with particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- An analysis of particle swarm optimizers
- Particle swarm optimization method in multiobjective problems (ACM Symposium on Applied Computing)
- Programs for Machine Learning
- Introduction to graph theory
Their papers
- A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts (2005) — 325 citations
- Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications (2007) — 67 citations
- A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and (2002) — 322 citations