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Pareto-Front Exploration with Uncertain Objectives

2001
We consider the problem of exploration of the set of all global optima (Pareto-points) or an approximation thereof in the context of multi-objective function optimization. Up to now, set oriented techniques assume that the evaluation of the m-dimensional vector of objectives can be done exactly which is important to steer the search process towards ...
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Pareto Front and General Line Coordinates

2018
The Pareto Front is a mathematically correct solution of multi-objective optimization problems with several conflicting objectives. However, it is only a partial solution for many real-world situations, where only few of the PF alternatives can be implemented, due to resource limitations and other reasons.
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A Pareto Front grid guided multi-objective evolutionary algorithm

Applied Soft Computing Journal, 2023
Ying, Yusuke Nojima
exaly  

253 oral CLINICALLY RELEVANT PARETO FRONTS

Radiotherapy and Oncology, 2011
T. Janssen   +3 more
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Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization

IEEE Transactions on Cybernetics, 2014
Miqing Li, Shengxiang Yang, Xiaohui Liu
exaly  

Response surface approximation of Pareto optimal front in multi-objective optimization

Computer Methods in Applied Mechanics and Engineering, 2007
Tushar Goel, Nestor V Queipo, R T Haftka
exaly  

Multiobjective Evolutionary Algorithm With Controllable Focus on the Knees of the Pareto Front

IEEE Transactions on Evolutionary Computation, 2009
Dipti Srinivasan
exaly  

Making decisions with pareto fronts under uncertainty

Many problems in the real-world can be formulated as a multi-objective optimisation problem. The conventional goal of this problem is to identify the best set of decisions which lead to the best set of outcomes: namely, the Pareto front of the problem.
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