Guohua Wu
Artificial Intelligence · Information Sciences · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Computational Theory and Mathematics — 46 citations into it
Whom Guohua Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ponnuthurai Nagaratnam Suganthan
- Swagatam Das
- Hussein A. Abbass
- Rammohan Mallipeddi
- Ryoji Tanabe
- Junhong Liu
- Jouni Lampinen
- A. K. Qin
- Yong Wang
- Janez Brest
Papers from Guohua Wu's perspective
Ordered by how strongly the researchers Guohua Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
- The self-adaptive Pareto differential evolution algorithm (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- Opposition-Based Differential Evolution (IEEE Transactions on Evolutionary Computation)
- ON STAGNATION OF THE DIFFERENTIAL EVOLUTION ALGORITHM
- Two improved differential evolution schemes for faster global search (Annual Conference on Genetic and Evolutionary Computation)
- Differential Evolution Using a Neighborhood-Based Mutation Operator (IEEE Transactions on Evolutionary Computation)
- Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Differential Evolution: A Practical Approach to Global Optimization
- Differential Evolution With Ranking-Based Mutation Operators (IEEE Transactions on Cybernetics)
Their papers
- Ensemble of differential evolution variants (2018) — 353 citations
- A test-suite of non-convex constrained optimization problems from the real-world and some baseline results (2020) — 478 citations
- Differential evolution with multi-population based ensemble of mutation strategies (2016) — 521 citations