Iman Ahmadianfar
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 6 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it; #30,160 of 35,345 by trust here, #19,439 by citations
- Computational Theory and Mathematics — 72 citations into it; #10,503 of 12,182 by trust here, #5,239 by citations
- Biomedical Engineering — 47 citations into it
- Industrial and Manufacturing Engineering — 10 citations into it
- Numerical Analysis — 7 citations into it; #3,201 of 3,586 by trust here, #2,107 by citations
- Ocean Engineering — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Iman Ahmadianfar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xin-She Yang
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
- Carlos Artemio Coello Coello
- Dervis Karaboga
- Andrew Lewis
- Min-Yuan Cheng
- Amir H. Gandomi
- John H. Holland
- Kenneth Sörensen
Who trusts Iman Ahmadianfar overall
Papers from Iman Ahmadianfar's perspective
Ordered by how strongly the researchers Iman Ahmadianfar trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (IEEE Transactions on Evolutionary Computation)
- A new optimizer using particle swarm theory
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- Tabu Search
- GSA: A Gravitational Search Algorithm (Information Sciences)
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
Their papers
- Gradient-based optimizer: A new metaheuristic optimization algorithm (2020) — 803 citations
- INFO: An efficient optimization algorithm based on weighted mean of vectors (2022) — 723 citations
- Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine (2021) — 61 citations
- On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network (2021) — 56 citations
- RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method (2021) — 988 citations
- Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm (2017) — 47 citations