Aimin Zhou
Computational Theory and Mathematics · 2006–2014
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 87 citations into it; #2,870 of 12,182 by trust here, #1,291 by citations
- Artificial Intelligence — 81 citations into it; #10,346 of 35,345 by trust here, #9,369 by citations
- Management Science and Operations Research — 9 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Aimin Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Eckart Zitzler
- J. Branke
- Joshua D. Knowles
- Carlos Artemio Coello Coello
- Lothar Thiele
- Yaochu Jin
- Kaisa Miettinen
- Qingfu Zhang
- Samir Agrawal
Who trusts Aimin Zhou overall
- Ye Tian
- Yaochu Jin
- Xing-yi Zhang
- Ran Cheng
- Handing Wang
- Yanan Sun
- Shouyong Jiang
- Juan José Durillo
- Seyedali Mirjalili
- Miqing Li
Papers from Aimin Zhou's perspective
Ordered by how strongly the researchers Aimin Zhou 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)
- Simulated Binary Crossover for Continuous Search Space
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Genetic Algorithms in Search
- Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)
- SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
- Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach (Annual Conference on Genetic and Evolutionary Computation)
Their papers
- Multiobjective evolutionary algorithms: A survey of the state of the art (2011) — 2,213 citations
- Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion (2006) — 343 citations
- Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm (2009) — 331 citations
- A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization (2014) — 486 citations
- Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition (2009) — 1,115 citations