Interactive multiobjective optimization: A review of the state-of-the-art
Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …
decision maker with the guidance of his/her preferences which are provided progressively …
[HTML][HTML] A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
M Tabatabaei, J Hakanen, M Hartikainen… - Structural and …, 2015 - Springer
Computationally expensive multiobjective optimization problems arise, eg in many
engineering applications, where several conflicting objectives are to be optimized …
engineering applications, where several conflicting objectives are to be optimized …
Survey of methods to visualize alternatives in multiple criteria decision making problems
K Miettinen - OR spectrum, 2014 - Springer
When solving decision problems where multiple conflicting criteria are to be considered
simultaneously, decision makers must compare several different alternatives and select the …
simultaneously, decision makers must compare several different alternatives and select the …
[HTML][HTML] A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm
When solving multiobjective optimization problems, preference-based evolutionary
multiobjective optimization (EMO) algorithms introduce preference information into an …
multiobjective optimization (EMO) algorithms introduce preference information into an …
Interactive nonlinear multiobjective optimization methods
K Miettinen, J Hakanen, D Podkopaev - … decision analysis: State of the art …, 2016 - Springer
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 …
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 …
[图书][B] Linear and multiobjective programming with fuzzy stochastic extensions
M Sakawa, H Yano, I Nishizaki, I Nishizaki - 2013 - Springer
Since GB Dantzig invented the celebrated simplex method around 1947, linear
programming, an optimization method for maximizing or minimizing a linear objective …
programming, an optimization method for maximizing or minimizing a linear objective …
Towards explainable interactive multiobjective optimization: R-XIMO
G Misitano, B Afsar, G Lárraga, K Miettinen - Autonomous Agents and Multi …, 2022 - Springer
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 …
[HTML][HTML] PAINT: Pareto front interpolation for nonlinear multiobjective optimization
M Hartikainen, K Miettinen, MM Wiecek - Computational optimization and …, 2012 - Springer
A method called PAINT is introduced for computationally expensive multiobjective
optimization problems. The method interpolates between a given set of Pareto optimal …
optimization problems. The method interpolates between a given set of Pareto optimal …
Designing empirical experiments to compare interactive multiobjective optimization methods
Interactive multiobjective optimization methods operate iteratively so that a decision maker
directs the solution process by providing preference information, and only solutions of …
directs the solution process by providing preference information, and only solutions of …