Synchronous approach in interactive multiobjective optimization
From MaRDI portal
Publication:2575573
DOI10.1016/j.ejor.2004.07.052zbMath1091.90071OpenAlexW2072921178WikidataQ29398641 ScholiaQ29398641MaRDI QIDQ2575573
Marko M. Mäkelä, Kaisa M. Miettinen
Publication date: 5 December 2005
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2004.07.052
Related Items (31)
Comparing different nonsmooth minimization methods and software ⋮ A multi-objective optimization algorithm based on dynamic user-preference information ⋮ LR-NIMBUS: an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions ⋮ A synchronous reference point-based interactive method for stochastic multiobjective programming ⋮ Trade-off analysis approach for interactive nonlinear multiobjective optimization ⋮ Stock portfolio selection using aspiration level-oriented procedure: real case on the RM-SYSTEM Czech stock exchange ⋮ Multiobjective problems with fuzzy parameters and games against nature ⋮ Visualization-aided multi-criteria decision-making using interpretable self-organizing maps ⋮ Global formulation for interactive multiobjective optimization ⋮ A new achievement scalarizing function based on parameterization in multiobjective optimization ⋮ Experiments with classification-based scalarizing functions in interactive multiobjective optimization ⋮ Interactive \textsc{Nonconvex Pareto Navigator} for multiobjective optimization ⋮ Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS ⋮ Survey of methods to visualize alternatives in multiple criteria decision making problems ⋮ Interactive multiobjective optimization with NIMBUS for decision making under uncertainty ⋮ Diagonal bundle method for nonsmooth sparse optimization ⋮ Using interactive multiobjective methods to solve DEA problems with value judgements ⋮ An additive achievement scalarizing function for multiobjective programming problems ⋮ Constructing a Pareto front approximation for decision making ⋮ PAINT: Pareto front interpolation for nonlinear multiobjective optimization ⋮ Modified interactive Chebyshev algorithm (MICA) for non-convex multiobjective programming ⋮ Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization ⋮ A two-slope achievement scalarizing function for interactive multiobjective optimization ⋮ Equilibrium problems with complementarity constraints: case study with applications to oligopolistic markets ⋮ Optimal control of cooling process in continuous casting of steel using a visualization-based multi-criteria approach ⋮ Pareto navigator for interactive nonlinear multiobjective optimization ⋮ Interactive stability cutting-plane algorithm for multiobjective nonlinear programming problems ⋮ Using box indices in supporting comparison in multiobjective optimization ⋮ g-dominance: Reference point based dominance for multiobjective metaheuristics ⋮ On the Use of Preferential Weights in Interactive Reference Point Based Methods ⋮ Interactive Multiobjective Optimization of Superstructure SMB Processes
Uses Software
Cites Work
- Theory of multiobjective optimization
- A visual interactive method for solving the multiple criteria problem
- Multiple objective decision making - methods and applications. A state- of-the-art survey. In collaboration with Sudhakar R. Paidy and Kwangsun Yoon
- Optimal control of continuous casting by nondifferentiable multiobjective optimization
- Nonlinear multiobjective optimization
- Unified interactive multiple objective programming
- Interactive solution approach to a multiobjective optimization problem in a paper machine headbox design
- Numerical comparison of some penalty-based constraint handling techniques in genetic algorithms
- Interactive multiobjective optimization system WWW-NIMBUS on the Internet
- An efficient constraint handling method for genetic algorithms
- A comparison of two reference point methods in multiple objective mathematical programming.
- On scalarizing functions in multiobjective optimization
- An Interactive Reference Direction Algorithm For Solving Multi-Objective Convex Nonlinear Integer Programming Problems
- Comparative evaluation of some interactive reference point-based methods for multi-objective optimisation
- A mathematical basis for satisficing decision making
- A naïve approach for solving MCDM problems: the GUESS method
- A Genetic Algorithm for the Multiple-Choice Integer Program
- Interactive bundle-based method for nondifferentiable multiobjeective optimization: nimbus§
- Linear programming with multiple objective functions: Step method (stem)
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Synchronous approach in interactive multiobjective optimization
