Anupam Trivedi

Computational Theory and Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 36 citations into it; #6,952 of 12,182 by trust here, #7,851 by citations
• Artificial Intelligence — 34 citations into it; #20,879 of 35,345 by trust here, #27,551 by citations
• Management Science and Operations Research — 13 citations into it

Whom Anupam Trivedi trusts overall

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

1. Kalyanmoy Deb
2. Qingfu Zhang
3. Hui Li
4. Eckart Zitzler
5. Himanshu Jain
6. Ke Li
7. Lothar Thiele
8. Hisao Ishibuchi
9. Joshua D. Knowles
10. Wudong Liu

Who trusts Anupam Trivedi overall

1. Ryoji Tanabe
2. Zhi-Zhong Liu
3. Yong Wang
4. Zhongwei Ma
5. Jing J. Liang
6. Hisao Ishibuchi

Papers from Anupam Trivedi's perspective

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

1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
3. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
4. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
5. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II (IEEE Transactions on Evolutionary Computation)
6. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
7. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
8. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (IEEE Transactions on Evolutionary Computation)
9. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
10. Multi-objective optimization using evolutionary algorithms

Their papers

• A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition (2017) — 550 citations