What is she best known for?
The fields of study she is best known for:
- Mathematical optimization
- Artificial intelligence
- Algorithm
Her main research concerns Mathematical optimization, Multi-objective optimization, Evolutionary algorithm, Optimization problem and Evolutionary computation.
As part of her studies on Mathematical optimization, she often connects relevant areas like Algorithm.
Her work deals with themes such as Function and Artificial intelligence, Information and Computer Science, which intersect with Multi-objective optimization.
Her Evolutionary algorithm research incorporates themes from Fitness approximation, Computation, Computational intelligence and Metaheuristic.
Many of her research projects under Optimization problem are closely connected to Lipschitz continuity with Lipschitz continuity, tying the diverse disciplines of science together.
Her studies deal with areas such as Data modeling, Data-driven, Local search and Taxonomy as well as Evolutionary computation.
Her most cited work include:
- Nonlinear Multiobjective Optimization (3677 citations)
- Multiobjective Optimization: Interactive and Evolutionary Approaches (629 citations)
- A preference-based evolutionary algorithm for multi-objective optimization (266 citations)
What are the main themes of her work throughout her whole career to date?
Kaisa Miettinen focuses on Multi-objective optimization, Mathematical optimization, Information and Computer Science, Optimization problem and Decision maker.
Her Multi-objective optimization study is focused on Machine learning in general.
Kaisa Miettinen regularly ties together related areas like Algorithm in her Mathematical optimization studies.
By researching both Optimization problem and Point, Kaisa Miettinen produces research that crosses academic boundaries.
Her Evolutionary algorithm study incorporates themes from Evolutionary computation, Genetic algorithm and Metaheuristic.
Her Decision support system study typically links adjacent topics like Operations research.
She most often published in these fields:
- Multi-objective optimization (67.35%)
- Mathematical optimization (62.45%)
- Information and Computer Science (17.14%)
What were the highlights of her more recent work (between 2015-2021)?
- Multi-objective optimization (67.35%)
- Mathematical optimization (62.45%)
- Optimization problem (16.73%)
In recent papers she was focusing on the following fields of study:
Kaisa Miettinen spends much of her time researching Multi-objective optimization, Mathematical optimization, Optimization problem, Evolutionary algorithm and Decision maker.
While working in this field, Kaisa Miettinen studies both Multi-objective optimization and Performance indicator.
Kaisa Miettinen is interested in Pareto principle, which is a field of Mathematical optimization.
Her Pareto principle research is multidisciplinary, incorporating elements of Range, Control engineering and Heuristics.
Her work carried out in the field of Optimization problem brings together such families of science as Machine learning, Surrogate model and Artificial intelligence.
In her study, which falls under the umbrella issue of Evolutionary algorithm, Approximation algorithm is strongly linked to Evolutionary computation.
Between 2015 and 2021, her most popular works were:
- A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization (140 citations)
- A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms (94 citations)
- Data-Driven Evolutionary Optimization: An Overview and Case Studies (92 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Mathematical optimization
- Algorithm
Mathematical optimization, Multi-objective optimization, Evolutionary algorithm, Optimization problem and Evolutionary computation are her primary areas of study.
In general Mathematical optimization, her work in Pareto principle, Evolutionary programming and Feasible region is often linked to Constraint satisfaction linking many areas of study.
Specifically, her work in Multi-objective optimization is concerned with the study of Pareto optimal.
Kaisa Miettinen has researched Evolutionary algorithm in several fields, including Computational intelligence, Fitness approximation, Computation, Function approximation and Data set.
Her work focuses on many connections between Optimization problem and other disciplines, such as Linear programming, that overlap with her field of interest in Artificial intelligence and Machine learning.
Her Interactive evolutionary computation study, which is part of a larger body of work in Evolutionary computation, is frequently linked to Model management, bridging the gap between disciplines.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
