Xing-yi Zhang
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 14 papers; trusts 111 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 322 citations into it; #6,103 of 35,345 by trust here, #8,893 by citations
- Computational Theory and Mathematics — 321 citations into it; #1,227 of 12,182 by trust here, #1,184 by citations
- Management Science and Operations Research — 81 citations into it; #2,573 of 11,946 by trust here, #3,457 by citations
- Statistics and Probability — 16 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Information Systems — 11 citations into it
- Optimization & Training — 9 citations into it
- Industrial and Manufacturing Engineering — 5 citations into it
Whom Xing-yi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Eckart Zitzler
- Qingfu Zhang
- Ran Cheng
- Yaochu Jin
- Simon Huband
- Philip Hingston
- Ye Tian
- Hui Li
- Lothar Thiele
Who trusts Xing-yi Zhang overall
- Ye Tian
- Yaochu Jin
- Ran Cheng
- Yanan Sun
- Hangyu Zhu
- Guo Yu
- Markus Olhofer
- Linqiang Pan
- Xiutao Zheng
- Abhishek Gupta
Papers from Xing-yi Zhang's perspective
Ordered by how strongly the researchers Xing-yi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective optimization using evolutionary algorithms
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
- Simulated Binary Crossover for Continuous Search Space
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
Their papers
- A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization (2015) — 766 citations
- An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization (2015) — 431 citations
- A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization (2018) — 553 citations
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum] (2017) — 2,245 citations
- An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility (2018) — 597 citations
- A benchmark test suite for evolutionary many-objective optimization (2017) — 432 citations
- A competitive mechanism based multi-objective particle swarm optimizer with fast convergence (2018) — 373 citations
- A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization (2019) — 302 citations
- Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization (2021) — 305 citations
- A Coevolutionary Framework for Constrained Multiobjective Optimization Problems (2021) — 592 citations
- Evolutionary Large-Scale Multi-Objective Optimization: A Survey (2021) — 426 citations
- Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer (2020) — 398 citations
- An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems (2020) — 353 citations
- A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization (2018) — 321 citations