Yong Wang

Artificial Intelligence · with Li · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #22,670 of 35,345 by trust here, #28,481 by citations
• Computational Theory and Mathematics — 13 citations into it; #7,612 of 12,182 by trust here, #8,294 by citations

Whom Yong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Swagatam Das
2. Nikolaus Hansen
3. Ponnuthurai Nagaratnam Suganthan
4. Anne Auger
5. A. K. Qin
6. Jingqiao Zhang
7. Yong Wang
8. Jianyong Sun
9. Salvador Garcia
10. Qingfu Zhang

Who trusts Yong Wang overall

1. Seyedali Mirjalili
2. Ali Asghar Heidari
3. Noor H. Awad
4. Parham Pahlavani
5. Ponnuthurai Nagaratnam Suganthan
6. Mostafa Z. Ali

Papers from Yong Wang's perspective

Ordered by how strongly the researchers Yong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
2. A Fuzzy Adaptive Differential Evolution Algorithm (2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.)
3. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
4. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
5. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
6. Differential evolution algorithm with ensemble of parameters and mutation strategies (Applied Soft Computing)
7. Opposition-Based Differential Evolution (IEEE Transactions on Evolutionary Computation)
8. JADE: Adaptive Differential Evolution With Optional External Archive (IEEE Transactions on Evolutionary Computation)
9. Differential Evolution Using a Neighborhood-Based Mutation Operator (IEEE Transactions on Evolutionary Computation)
10. Accelerating Differential Evolution Using an Adaptive Local Search (IEEE Transactions on Evolutionary Computation)

Their papers

• Differential evolution based on covariance matrix learning and bimodal distribution parameter setting (2014) — 309 citations