Yueting Xu
Artificial Intelligence · with Zhang · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
Whom Yueting Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yueting Xu overall
Papers from Yueting Xu's perspective
Ordered by how strongly the researchers Yueting Xu 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
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- 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)
- Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems (Engineering computations)
- A new optimizer using particle swarm theory
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- Swarm Intelligence (Lecture Notes in Computer Science)
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
Their papers
- Enhanced Moth-flame optimizer with mutation strategy for global optimization (2019) — 393 citations