Ibrahim Aljarah
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 8 papers; trusts 49 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 174 citations into it; #12,382 of 35,345 by trust here, #6,422 by citations
- Computational Theory and Mathematics — 123 citations into it; #11,057 of 12,182 by trust here, #3,448 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Information Systems — 15 citations into it
- Molecular Biology — 14 citations into it
- Control and Systems Engineering — 10 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Ibrahim Aljarah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyedali Mirjalili
- Dervis Karaboga
- Seyed Mohammad Mirjalili
- John H. Holland
- David E. Goldberg
- Xin-She Yang
- Alex M. Andrew
- Andrew Lewis
- David Hilton Wolpert
- Carlos Artemio Coello Coello
Who trusts Ibrahim Aljarah overall
- Prachi Agrawal
- Ying-Biao Ling
- Tansel Dökeroğlu
- Hossam Faris
- Yongquan Zhou
- Hattan F. Abutarboush
- Ali Asghar Heidari
- Majdi M. Mafarja
- Mohammad-Hossein Nadimi-Shahraki
- Yanan Zhang
Papers from Ibrahim Aljarah's perspective
Ordered by how strongly the researchers Ibrahim Aljarah trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- The Nature of Statistical Learning Theory
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Swarm Intelligence (Lecture Notes in Computer Science)
- A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization (J. Heuristics)
Their papers
- Grey wolf optimizer: a review of recent variants and applications (2017) — 1,033 citations
- Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems (2017) — 390 citations
- Grasshopper optimization algorithm for multi-objective optimization problems (2017) — 688 citations
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems (2018) — 595 citations
- Binary dragonfly optimization for feature selection using time-varying transfer functions (2018) — 369 citations
- Binary grasshopper optimisation algorithm approaches for feature selection problems (2019) — 378 citations
- Harris hawks optimization: Algorithm and applications (2019) — 5,546 citations
- Optimizing connection weights in neural networks using the whale optimization algorithm (2016) — 702 citations