What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Combinatorics
The scientist’s investigation covers issues in Mathematical optimization, Evolutionary algorithm, Multi-objective optimization, Combinatorics and Time complexity.
His Gaussian noise research extends to Mathematical optimization, which is thematically connected.
His Evolutionary algorithm research is multidisciplinary, incorporating elements of Function, Algorithm, Mutation and Crossover.
His Multi-objective optimization research includes themes of Dimension, Optimization problem, Evolutionary computation and Pareto principle.
His studies deal with areas such as Intersection, Discrete mathematics, Order and Regular polygon as well as Combinatorics.
His research investigates the connection with Time complexity and areas like Measure which intersect with concerns in Benchmark.
His most cited work include:
- Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics:a multi-model analysis (351 citations)
- Why rumors spread so quickly in social networks (248 citations)
- Tracking the variable North Atlantic sink for atmospheric CO2 (142 citations)
What are the main themes of his work throughout his whole career to date?
Tobias Friedrich mostly deals with Combinatorics, Mathematical optimization, Evolutionary algorithm, Discrete mathematics and Algorithm.
The Combinatorics study combines topics in areas such as Expected value and Random walk.
As part of his studies on Mathematical optimization, Tobias Friedrich frequently links adjacent subjects like Function.
He has researched Evolutionary algorithm in several fields, including Evolutionary computation, Submodular set function, Constraint and Mutation.
In his research, Tobias Friedrich performs multidisciplinary study on Discrete mathematics and Random regular graph.
Vertex cover is closely connected to Degree distribution in his research, which is encompassed under the umbrella topic of Random graph.
He most often published in these fields:
- Combinatorics (26.05%)
- Mathematical optimization (22.13%)
- Evolutionary algorithm (18.49%)
What were the highlights of his more recent work (between 2017-2021)?
- Combinatorics (26.05%)
- Evolutionary algorithm (18.49%)
- Mathematical optimization (22.13%)
In recent papers he was focusing on the following fields of study:
Tobias Friedrich spends much of his time researching Combinatorics, Evolutionary algorithm, Mathematical optimization, Algorithm and Time complexity.
Tobias Friedrich combines subjects such as Probability distribution and Bounded function with his study of Combinatorics.
His Evolutionary algorithm study combines topics in areas such as Evolutionary computation, Theory of computation, Combinatorial optimization and Mutation rate.
His studies in Mathematical optimization integrate themes in fields like Function and Constraint.
His work deals with themes such as Tree, Routing, Contrast and Embedding, which intersect with Algorithm.
His Time complexity research integrates issues from Satisfiability and Degree distribution.
Between 2017 and 2021, his most popular works were:
- The European Spallation Source Design (70 citations)
- Escaping Local Optima Using Crossover With Emergent Diversity (67 citations)
- Mediterranean winter rainfall in phase with African monsoons during the past 1.36 million years (40 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Combinatorics
His primary scientific interests are in Evolutionary algorithm, Combinatorics, Mathematical optimization, Function and Mutation rate.
His research integrates issues of Discrete mathematics and Grid in his study of Combinatorics.
The concepts of his Discrete mathematics study are interwoven with issues in Expected value, Class and Signature.
In his work, Evolutionary computation and Knapsack problem is strongly intertwined with Constraint, which is a subfield of Mathematical optimization.
His Mutation rate study combines topics from a wide range of disciplines, such as Local optimum and Mutation.
Tobias Friedrich interconnects Time complexity and Submodular set function in the investigation of issues within Local search.
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