Multidimensional Exploration of Software Implementationsfor DSP Algorithms
Journal of VLSI Signal Processing Systems - Special issue on recent advances in the design and implementation of signal processing systems
Evolutionary algorithms for the synthesis of embedded software
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Multiobjective Optimization
EvoCOP '09 Proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization
On Uncertainty and Robustness in Evolutionary Optimization-Based MCDM
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning
Robustness of multi-objective optimal solutions to physical deterioration through active control
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
La Nina: framework in self-adaptive publish/subscribe middleware for wireless sensor networks
International Journal of Autonomous and Adaptive Communications Systems
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion
Structural and Multidisciplinary Optimization
Accumulative sampling for noisy evolutionary multi-objective optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Multi-objective reliability-based optimization with stochastic metamodels
Evolutionary Computation
A preliminary study on handling uncertainty in indicator-based multiobjective optimization
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Searching for robust pareto-optimal solutions in multi-objective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Initial population construction for convergence improvement of MOEAs
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Multi-objective optimization of problems with epistemic uncertainty
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Many-objective de Novo water supply portfolio planning under deep uncertainty
Environmental Modelling & Software
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Quantum control experiments as a testbed for evolutionary multi-objective algorithms
Genetic Programming and Evolvable Machines
On optimizing a bi-objective flowshop scheduling problem in an uncertain environment
Computers & Mathematics with Applications
A non-parametric statistical dominance operator for noisy multiobjective optimization
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
On confident task-accurate performance estimation
ARCS'13 Proceedings of the 26th international conference on Architecture of Computing Systems
S-Race: a multi-objective racing algorithm
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Multi-objective optimization with estimation of distribution algorithm in a noisy environment
Evolutionary Computation
A variational approach to define robustness for parametric multiobjective optimization problems
Journal of Global Optimization
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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 global optima. Here, we extend such techniques to allow objectives to be uncertain, i.e., vary within intervals. This may be often the case if the exact computation of objectives is computationally too expensive such that only estimates on the objective values of a design point may be derived. For objective values that are constrained by intervals, we derive a theory of probabilistic dominance, an extension of the definition of Pareto-dominance. Also, we show how this theory may be used in order to guide the selection process to approximate the Pareto-set.