Magdy M. A. Salama
Artificial Intelligence · 2006–2013
A researcher in the Science corpus: 9 papers; trusts 25 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #6,861 of 35,345 by trust here, #9,760 by citations
- Computational Theory and Mathematics — 24 citations into it; #1,525 of 12,182 by trust here, #1,748 by citations
- Electrical and Electronic Engineering — 10 citations into it; #12,257 of 16,539 by trust here, #13,553 by citations
- Renewable Energy, Sustainability and the Environment — 10 citations into it
- Reinforcement Learning — 9 citations into it
- Control and Systems Engineering — 7 citations into it; #6,829 of 8,257 by trust here, #7,140 by citations
- Numerical Analysis — 6 citations into it
Whom Magdy M. A. Salama trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hamid R. Tizhoosh
- Godfrey C. Onwubolu
- David E. Goldberg
- M. Montaz Ali
- Jouni Lampinen
- Ben J. A. Kröse
- Jason Teo
- Xin Yao
- Shahryar Rahnamayan
- Junhong Liu
Who trusts Magdy M. A. Salama overall
- Sedigheh Mahdavi
- Shahryar Rahnamayan
- Ferrante Neri
- Konstantinos E. Parsopoulos
- Turaj Amraee
- Swagatam Das
- Chao Yu
- Pinar Çivicioglu
- Ville Tirronen
- Li Yang
Papers from Magdy M. A. Salama's perspective
Ordered by how strongly the researchers Magdy M. A. Salama trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Genetic Algorithms + Data Structures = Evolution Programs
- Evolutionary programming made faster
- Optimization by Simulated Annealing
- No free lunch theorems for optimization
- Evolutionary programming using mutations based on the Levy probability distribution (IEEE Transactions on Evolutionary Computation)
- DE/EDA: A new evolutionary algorithm for global optimization (Information Sciences)
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- Opposition-Based Differential Evolution (IEEE Transactions on Evolutionary Computation)
Their papers
- Opposition-Based Differential Evolution (2008) — 1,586 citations
- Quasi-oppositional Differential Evolution (2007) — 350 citations
- A novel population initialization method for accelerating evolutionary algorithms (2007) — 375 citations
- Optimal coordination of overcurrent relays using a modified particle swarm optimization (2006) — 312 citations
- Optimal Photovoltaic Array Reconfiguration to Reduce Partial Shading Losses (2013) — 335 citations
- Opposition versus randomness in soft computing techniques (2008) — 340 citations
- Application of reinforcement learning for segmentation of transrectal ultrasound images (2008) — 283 citations
- Application of Opposition-Based Reinforcement Learning in Image Segmentation (2007) — 48 citations
- A Reinforcement Learning Framework for Medical Image Segmentation (2006) — 76 citations