Nicola Beume

Computational Theory and Mathematics · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 14 citations into it; #840 of 12,182 by trust here, #1,557 by citations
• Artificial Intelligence — 10 citations into it; #4,894 of 35,345 by trust here, #10,319 by citations
• Management Science and Operations Research — 6 citations into it; #934 of 11,946 by trust here, #1,590 by citations

Whom Nicola Beume trusts overall

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

1. Kalyanmoy Deb
2. Eckart Zitzler
3. Joshua D. Knowles
4. Hans-Georg Beyer
5. David Wolfe Corne
6. Michael T. M. Emmerich
7. Lothar Thiele
8. Samir Agrawal
9. Marco Laumanns
10. Carlos Artemio Coello Coello

Who trusts Nicola Beume overall

1. Ye Tian
2. Yaochu Jin
3. Ran Cheng
4. Xing-yi Zhang
5. Hisao Ishibuchi
6. Michael T. M. Emmerich
7. Rui Wang
8. Hangyu Zhu
9. Ryoji Tanabe
10. Eckart Zitzler

Papers from Nicola Beume's perspective

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

1. Genetic Algorithms in Search
2. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
3. Multi-objective optimization using evolutionary algorithms
4. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
5. On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
6. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
7. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion (International Conference on Evolutionary Multi-Criterion Optimization)
8. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
9. Simulated Binary Crossover for Continuous Search Space
10. Evolutionary Algorithms for Solving Multi-Objective Problems

Their papers

• SMS-EMOA: Multiobjective selection based on dominated hypervolume (2007) — 2,020 citations
• An EMO Algorithm Using the Hypervolume Measure as Selection Criterion (2005) — 670 citations