André H. Deutz
Computational Theory and Mathematics · 2018–2024
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 40 citations into it; #9,035 of 12,182 by trust here, #8,294 by citations
- Artificial Intelligence — 39 citations into it; #26,169 of 35,345 by trust here, #28,481 by citations
- Management Science and Operations Research — 10 citations into it
Whom André H. Deutz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Eckart Zitzler
- Carlos Artemio Coello Coello
- Joshua D. Knowles
- Marco Laumanns
- Michael T. M. Emmerich
- Hans-Georg Beyer
- Lothar Thiele
- Johannes Bader
- David Wolfe Corne
Who trusts André H. Deutz overall
Papers from André H. Deutz's perspective
Ordered by how strongly the researchers André H. Deutz trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective optimization using evolutionary algorithms
- Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
- Simulated Binary Crossover for Continuous Search Space
- Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- Combining Convergence and Diversity in Evolutionary Multiobjective Optimization (Evolutionary Computation)
- SPEA2: Improving the strength pareto evolutionary algorithm
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- An EMO Algorithm Using the Hypervolume Measure as Selection Criterion (International Conference on Evolutionary Multi-Criterion Optimization)
- Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
Their papers
- Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies (2024) — 648 citations
- A tutorial on multiobjective optimization: fundamentals and evolutionary methods (2018) — 679 citations