Alec Banks

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #22,862 of 35,345 by trust here, #18,186 by citations
• Computational Theory and Mathematics — 14 citations into it; #7,697 of 12,182 by trust here, #4,059 by citations
• Biomedical Engineering — 6 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Alec Banks trusts overall

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

1. R. Eberhart
2. Frans van den Bergh
3. Xiaohui Hu
4. James Kennedy
5. Andries Petrus Engelbrecht
6. Carlos Artemio Coello Coello
7. Ioan Cristian Trelea
8. Zwe-Lee Gaing
9. Konstantinos E. Parsopoulos
10. David Hilton Wolpert

Who trusts Alec Banks overall

1. Xin-She Yang
2. Mohammad Reza Bonyadi
3. Z. Michalewicz
4. M. N. Ab Wahab
5. Konstantinos E. Parsopoulos
6. Leonora Bianchi

Papers from Alec Banks's perspective

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

1. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
2. Genetic Programming: On the Programming of Computers by Means of Natural Selection
3. Genetic Algorithms in Search Optimization and Machine Learning
4. No free lunch theorems for optimization
5. Tracking and optimizing dynamic systems with particle swarms (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
6. Comparison between Genetic Algorithms and Particle Swarm Optimization
7. The particle swarm optimization algorithm: convergence analysis and parameter selection (Information Processing Letters)
8. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
9. Stereotyping: improving particle swarm performance with cluster analysis (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
10. Flocks, herds, and schools: a distributed behavioral model

Their papers

• A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications (2008) — 515 citations
• A review of particle swarm optimization. Part I: background and development (2007) — 638 citations
• A Safety Framework for Critical Systems Utilising Deep Neural Networks (2020) — 52 citations