Nima Khodadadi
Artificial Intelligence · 2022–2024
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 105 citations into it
- Computational Theory and Mathematics — 81 citations into it
Whom Nima Khodadadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nima Khodadadi's perspective
Ordered by how strongly the researchers Nima Khodadadi trusts endorse each paper. Same corpus, a different order for every researcher.
- Grey Wolf Optimizer (Advances in Engineering Software)
- Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
- Black hole: A new heuristic optimization approach for data clustering (Information Sciences)
- Chaos Game Optimization: a novel metaheuristic algorithm (Artificial Intelligence Review)
- Chemical-Reaction-Inspired Metaheuristic for Optimization (IEEE Transactions on Evolutionary Computation)
- Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm (Swarm and Evolutionary Computation)
- Atom search optimization and its application to solve a hydrogeologic parameter estimation problem (Knowledge-Based Systems)
- Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems (Engineering applications of artificial intelligence)
- Gravitational Search Algorithm
- Poor and rich optimization algorithm: A new human-based and multi populations algorithm (Engineering applications of artificial intelligence)
Their papers
- Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm (2024) — 602 citations
- Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning (2024) — 430 citations
- Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems (2022) — 435 citations