[BOOK][B] Nonlinear multiobjective optimization
K Miettinen - 1999 - books.google.com
Problems with multiple objectives and criteria are generally known as multiple criteria
optimization or multiple criteria decision-making (MCDM) problems. So far, these types of …
optimization or multiple criteria decision-making (MCDM) problems. So far, these types of …
Calibration of process-oriented models
PHM Janssen, PSC Heuberger - Ecological modelling, 1995 - Elsevier
Model calibration is a critical phase in the modelling process, and the need for a well-
established calibration strategy is obvious. Therefore a systematic approach for model …
established calibration strategy is obvious. Therefore a systematic approach for model …
On scalarizing functions in multiobjective optimization
K Miettinen, MM Mäkelä - OR spectrum, 2002 - Springer
Scalarizing functions play an essential role in solving multiobjective optimization problems.
Many different scalarizing functions have been suggested in the literature based on different …
Many different scalarizing functions have been suggested in the literature based on different …
DESDEO: The modular and open source framework for interactive multiobjective optimization
Interactive multiobjective optimization methods incorporate preferences from a human
decision maker in the optimization process iteratively. This allows the decision maker to …
decision maker in the optimization process iteratively. This allows the decision maker to …
Interactive nonlinear multiobjective optimization methods
An overview of interactive methods for solving nonlinear multiobjective optimization
problems is given. In interactive methods, the decision maker progressively provides …
problems is given. In interactive methods, the decision maker progressively provides …
Interactive bundle-based method for nondifferentiable multiobjeective optimization: Nimbus
K Miettinen, MM Mäkelä - Optimization, 1995 - Taylor & Francis
NIMBUS, an interactive method for nondifferentiable multiobjective optimization problems, is
described. The algorithm is based on the classification of objective functions. At each …
described. The algorithm is based on the classification of objective functions. At each …
An interactive analytics approach for sustainable and resilient case studies: a machine learning perspective
Sustainable development is a problem-solving method that simultaneously accounts for the
economic, environmental, and social impacts of actions. Decision-makers have recently …
economic, environmental, and social impacts of actions. Decision-makers have recently …
Towards explainable interactive multiobjective optimization: R-XIMO
In interactive multiobjective optimization methods, the preferences of a decision maker are
incorporated in a solution process to find solutions of interest for problems with multiple …
incorporated in a solution process to find solutions of interest for problems with multiple …
NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point
Most interactive methods developed for solving multiobjective optimization problems
sequentially generate Pareto optimal or nondominated vectors and the decision maker must …
sequentially generate Pareto optimal or nondominated vectors and the decision maker must …
Interactive multiobjective evolutionary algorithm based on decomposition and compression
Many real-world optimization problems involve multiple conflicting objectives. Such
problems are called multiobjective optimization problems (MOPs). Typically, MOPs have a …
problems are called multiobjective optimization problems (MOPs). Typically, MOPs have a …