Zahra Beheshti
Artificial Intelligence · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computational Theory and Mathematics — 21 citations into it
- Control and Systems Engineering — 8 citations into it
- Biomedical Engineering — 6 citations into it
Whom Zahra Beheshti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- Yuhui Shi
- Dervis Karaboga
- Esmat Rashedi
- Chia-Feng Juang
- Jing J. Liang
- Rui Mendes
- James Kennedy
- Zhi-hui Zhan
- Ali Kaveh
Who trusts Zahra Beheshti overall
- Yulian Cao
- Hanxun Zhang
- Berat Dogan
- Amir Mohammad Fathollahi-Fard
- Wenfeng Li
- Stephen Bassi Joseph
- I. Antonopoulos
Papers from Zahra Beheshti's perspective
Ordered by how strongly the researchers Zahra Beheshti 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 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))
- A new optimizer using particle swarm theory
- No free lunch theorems for optimization
- Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (IEEE Transactions on Evolutionary Computation)
- Population structure and particle swarm performance (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Comparison between Genetic Algorithms and Particle Swarm Optimization
- The fully informed particle swarm: simpler, maybe better (IEEE Transactions on Evolutionary Computation)
- AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Their papers
- Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm (2016) — 361 citations
- A review of population-based meta-heuristic algorithm (2013) — 482 citations