Fitness inheritance for noisy evolutionary multi-objective optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Map-labelling with a multi-objective evolutionary algorithm
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Localization for solving noisy multi-objective optimization problems
Evolutionary Computation
Optimization of temporal processes: a model predictive control approach
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Evolutionary multiobjective optimization in noisy problem environments
Journal of Heuristics
Uncertainty of constraint function in evolutionary multi-objective optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Pareto-dominance in noisy environments
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
User's attention knowledge learning in interactive evolutionary computation
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Handling uncertainties in evolutionary multi-objective optimization
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Multiobjective optimization of temporal processes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
New uncertainty handling strategies in multi-objective evolutionary optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Shape optimization for drag reduction in linked bodies using evolution strategies
Computers and Structures
Accumulative sampling for noisy evolutionary multi-objective optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Quantum control experiments as a testbed for evolutionary multi-objective algorithms
Genetic Programming and Evolvable Machines
Deriving a robust policy for container stacking using a noise-tolerant genetic algorithm
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Multi-objective optimization with estimation of distribution algorithm in a noisy environment
Evolutionary Computation
On handling ephemeral resource constraints in evolutionary search
Evolutionary Computation
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This work introduces a multiobjective evolutionary algorithm capable of handling noisy problems with a particular emphasis on robustness against unexpected measurements (outliers). The algorithm is based on the Strength Pareto evolutionary algorithm of Zitzler and Thiele and includes the new concepts of domination dependent lifetime, re-evaluation of solutions and modifications in the update of the archive population. Several tests on prototypical functions underline the improvements in convergence speed and robustness of the extended algorithm. The proposed algorithm is implemented to the Pareto optimization of the combustion process of a stationary gas turbine in an industrial setup. The Pareto front is constructed for the objectives of minimization of NOx emissions and reduction of the pressure fluctuations (pulsation) of the flame. Both objectives are conflicting affecting the environment and the lifetime of the turbine, respectively. The optimization leads a Pareto front corresponding to reduced emissions and pulsation of the burner. The physical implications of the solutions are discussed and the algorithm is evaluated.