Introduction to Multiobjective Optimization: Interactive Approaches
Multiobjective Optimization
Multiobjective Optimization
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
A preference-based evolutionary algorithm for multi-objective optimization
Evolutionary Computation
Computational Optimization and Applications
IEEE Transactions on Evolutionary Computation
Enhancement of Sandwich Algorithms for Approximating Higher-Dimensional Convex Pareto Sets
INFORMS Journal on Computing
Hi-index | 0.00 |
We present a new interactive hybrid approach for solving multicriteria optimization problems where features of approximation methods and interactive approaches are incorporated. We produce rough approximations of the nondominated set and let the decision maker indicate with the help of reference points where to refine the approximation. In this way, (s)he iteratively directs the search toward the best nondominated solution. After the decision maker has identified the most interesting region of the nondominated set, the final solution can be fine-tuned with existing interactive methods. We suggest different ways of updating the reference point as well as discuss visualizations that can be used in comparing different nondominated solutions. The new method is computationally relatively inexpensive and easy to use for the decision maker.