Shengxiang Yang

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 10 papers; trusts 83 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 154 citations into it; #6,391 of 35,345 by trust here, #10,798 by citations
• Computational Theory and Mathematics — 138 citations into it; #726 of 12,182 by trust here, #1,233 by citations
• Management Science and Operations Research — 32 citations into it; #2,747 of 11,946 by trust here, #5,787 by citations
• Control and Systems Engineering — 16 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Biomedical Engineering — 6 citations into it
• Computer Networks and Communications — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Shengxiang Yang trusts overall

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

1. Kalyanmoy Deb
2. Eckart Zitzler
3. J. Branke
4. Tim M. Blackwell
5. Qingfu Zhang
6. Xiaodong Li
7. Joshua D. Knowles
8. Shumeet Baluja
9. Hui Li
10. Johannes Bader

Who trusts Shengxiang Yang overall

1. Ye Tian
2. Ran Cheng
3. Yaochu Jin
4. Xing-yi Zhang
5. Yanan Sun
6. Yuan Yuan
7. Trung-Thanh Nguyen
8. Guo Yu
9. Gary G. Yen
10. Michalis Mavrovouniotis

Papers from Shengxiang Yang's perspective

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

1. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
2. Multi-objective optimization using evolutionary algorithms
3. A fast and elitist multiobjective genetic algorithm: NSGA-II
4. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
5. Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
6. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
7. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
8. Genetic Algorithms in Search Optimization and Machine Learning
9. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
10. A faster algorithm for calculating hypervolume (IEEE Transactions on Evolutionary Computation)

Their papers

• A Grid-Based Evolutionary Algorithm for Many-Objective Optimization (2013) — 808 citations
• Evolutionary dynamic optimization: A survey of the state of the art (2012) — 660 citations
• Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization (2014) — 658 citations
• A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017) — 564 citations
• A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments (2010) — 350 citations
• A benchmark test suite for evolutionary many-objective optimization (2017) — 432 citations
• Experimental study on population-based incremental learning algorithms for dynamic optimization problems (2005) — 310 citations
• A Self-Learning Particle Swarm Optimizer for Global Optimization Problems (2012) — 373 citations
• A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization (2017) — 325 citations
• A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization (2017) — 300 citations