Yamille del Valle
Artificial Intelligence · 2008
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Electrical and Electronic Engineering — 15 citations into it; #11,049 of 16,539 by trust here, #7,062 by citations
- Control and Systems Engineering — 8 citations into it
- Biomedical Engineering — 5 citations into it
Whom Yamille del Valle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- Yuhui Shi
- Konstantinos E. Parsopoulos
- Xiaohui Hu
- Zwe-Lee Gaing
- Kevin M. Passino
- Mohammad Ali Abido
- Chia-Feng Juang
- Michael N. Vrahatis
- Wenjun Zhang
Who trusts Yamille del Valle overall
- Ahmed Yousuf Saber
- Raghavendra V. Kulkarni
- Ganesh Kumar Venayagamoorthy
- Joy Chandra Mukherjee
- Pinar Çivicioglu
- Chao-hua Dai
- Chaoli Sun
- Wei-neng Chen
- Arobinda Gupta
- Erkan Besdok
Papers from Yamille del Valle's perspective
Ordered by how strongly the researchers Yamille del Valle trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
- Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization (IEEE Power Engineering Review)
- Optimal Design of Power System Stabilizer Using Particle Swarm Optimization
- A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization (Annual Conference on Genetic and Evolutionary Computation)
- Swarm Intelligence (Lecture Notes in Computer Science)
- Comparison between Genetic Algorithms and Particle Swarm Optimization
- A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
- Population structure and particle swarm performance (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
Their papers
- Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008) — 2,324 citations