Add to ORKGMulti-criteria optimization has gained increasing attention during the last decades. This article exemplifies multi-criteria features, which are implemented in the statistical software package SPOT. It describes related software packages such as mco and emoa and gives a comprehensive introduction to simple multi criteria optimization tasks. Several hands-on examples are used for illustration. The article is well-suited as a starting point for performing multi-criteria optimization tasks with SPOT
Using some real world examples I illustrate the important role of multiobjective optimization in dec...
Presented at the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, G...
This article introduces multimodal optimization (MMO) methods aiming to locate multiple optimal (or ...
Multi-criteria optimization has gained increasing attention during the last decades. This article ex...
International Series in Operations Research & Management Science. ISBN: 978-1-4020-7128-7The roots o...
Multi-criteria optimization problems naturally arise in practice when there is no single criterion f...
The sequential parameter optimization (spot) package for R (R De-velopment Core Team, 2008) is a too...
Most of the practical applications that require optimization often involve multiple objectives. Thes...
Formerly, multi-criteria optimization algorithms were often tested using tens of thousands function ...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
In recent years, multi-objective optimization (MOO) techniques have become popular due to their pote...
In multi-objective optimization, it is non-trivial for decision makers to articulate preferences wit...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
International audienceThis paper presents a general-purpose software framework dedicated to the desi...
There is a strong need for sound statistical analysis of simulation and optimization algorithms. Bas...
Using some real world examples I illustrate the important role of multiobjective optimization in dec...
Presented at the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, G...
This article introduces multimodal optimization (MMO) methods aiming to locate multiple optimal (or ...
Multi-criteria optimization has gained increasing attention during the last decades. This article ex...
International Series in Operations Research & Management Science. ISBN: 978-1-4020-7128-7The roots o...
Multi-criteria optimization problems naturally arise in practice when there is no single criterion f...
The sequential parameter optimization (spot) package for R (R De-velopment Core Team, 2008) is a too...
Most of the practical applications that require optimization often involve multiple objectives. Thes...
Formerly, multi-criteria optimization algorithms were often tested using tens of thousands function ...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
In recent years, multi-objective optimization (MOO) techniques have become popular due to their pote...
In multi-objective optimization, it is non-trivial for decision makers to articulate preferences wit...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
International audienceThis paper presents a general-purpose software framework dedicated to the desi...
There is a strong need for sound statistical analysis of simulation and optimization algorithms. Bas...
Using some real world examples I illustrate the important role of multiobjective optimization in dec...
Presented at the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, G...
This article introduces multimodal optimization (MMO) methods aiming to locate multiple optimal (or ...