Boris Naujoks

Computational Theory and Mathematics · 2005–2014

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 34 citations into it; #474 of 12,182 by trust here, #884 by citations
• Artificial Intelligence — 29 citations into it; #4,735 of 35,345 by trust here, #9,641 by citations
• Management Science and Operations Research — 9 citations into it; #879 of 11,946 by trust here, #1,411 by citations
• Control and Systems Engineering — 5 citations into it

Whom Boris Naujoks trusts overall

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

1. Kalyanmoy Deb
2. Eckart Zitzler
3. Joshua D. Knowles
4. Yaochu Jin
5. Hans-Georg Beyer
6. Thomas J. Santner
7. David Wolfe Corne
8. Kyriakos C. Giannakoglou
9. Samir Agrawal
10. Iroon Polytechniou

Who trusts Boris Naujoks overall

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

Papers from Boris Naujoks's perspective

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

1. Multi-objective optimization using evolutionary algorithms
2. Genetic Algorithms in Search
3. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
4. A fast and elitist multiobjective genetic algorithm: NSGA-II
5. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
6. Efficient Global Optimization of Expensive Black-Box Functions
7. Evolutionary Algorithms for Solving Multi-Objective Problems
8. Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence
9. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
10. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

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
• Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels (2006) — 783 citations
• Efficient global optimization for combinatorial problems (2014) — 62 citations