Seyyed Hamid Samareh Moosavi
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Computational Theory and Mathematics — 22 citations into it
Whom Seyyed Hamid Samareh Moosavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Seyyed Hamid Samareh Moosavi's perspective
Ordered by how strongly the researchers Seyyed Hamid Samareh Moosavi trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (Engineering computations)
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- A new optimizer using particle swarm 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)
- 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)
- Swarm Intelligence: From Natural to Artificial Systems
- Swarm Intelligence (Lecture Notes in Computer Science)
Their papers
- Poor and rich optimization algorithm: A new human-based and multi populations algorithm (2019) — 352 citations