Kaisa Miettinen

Computational Theory and Mathematics · 1998–2019

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 52 citations into it; #2,695 of 12,182 by trust here, #2,851 by citations
• Artificial Intelligence — 47 citations into it; #15,060 of 35,345 by trust here, #19,018 by citations
• Management Science and Operations Research — 17 citations into it; #3,060 of 11,946 by trust here, #6,314 by citations
• Statistics and Probability — 8 citations into it
• Mechanical Engineering — 5 citations into it

Whom Kaisa Miettinen trusts overall

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

1. Yaochu Jin
2. Kalyanmoy Deb
3. Eckart Zitzler
4. Qingfu Zhang
5. Joshua D. Knowles
6. Ran Cheng
7. Nikolaus Hansen
8. J. Branke
9. Handing Wang
10. Michael T. M. Emmerich

Who trusts Kaisa Miettinen overall

1. Kalyanmoy Deb
2. Qingfu Zhang
3. Yaochu Jin
4. Hui Li
5. Ke Li
6. George Mavrotas
7. Nyoman Gunantara
8. Michael Crawshaw
9. Handing Wang
10. Ran Cheng

Papers from Kaisa Miettinen's perspective

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

1. Multi-objective optimization using evolutionary algorithms
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
4. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
5. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
6. Nonlinear multiobjective optimization
7. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
8. The balance between proximity and diversity in multiobjective evolutionary algorithms (IEEE Transactions on Evolutionary Computation)
9. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
10. A framework for evolutionary optimization with approximate fitness functions (IEEE Transactions on Evolutionary Computation)

Their papers

• A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization (2009) — 375 citations
• A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization (2018) — 538 citations
• Data-Driven Evolutionary Optimization: An Overview and Case Studies (2019) — 582 citations
• Multiobjective Optimization (2008) — 705 citations
• On scalarizing functions in multiobjective optimization (2002) — 309 citations
• Nonlinear multiobjective optimization (1998)