A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion
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- Type
- article
- Published
- 2009-02-01
- Cited by
- 312
- References
- 68
- Access
- Open access
- OpenAlex
- https://openalex.org/W2104578628
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6304307
Keywords
CMA-ES, Context (archaeology), Computer science, Evolutionary algorithm, Convergence (economics)
References
- Modeling and control of thermoacoustic instabilities
- MODELING AND ACTIVE CONTROL OF THERMOACOUSTIC INSTABILITIES
- Noisy Local Optimization with Evolution Strategies
- Efficient fitness estimation in noisy environments
- Combustion Instabilities In Gas Turbine Engines: Operational Experience, Fundamental Mechanisms, and Modeling
- The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations
- Noisy Optimization With Evolution Strategies
- Self-tuning control of a nonlinear model of combustion instabilities
- Control Systems Engineering
- Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation
- Thresholding-a selection operator for noisy ES
- Combustion Process Optimization Using Evolutionary Algorithm
- On‐line optimisation of culture temperature for ethanol fermentation using a genetic algorithm
- Weighted multirecombination evolution strategies
- Gas Turbine Combustion
- On-line genetic algorithm tuning of a PI controller for a heating system
- Evolutionary Hinfin; design of an electromagnetic suspension control system for a maglev vehicle
- Active control of combustion instability: theory and practice
- Adaptive choice of mean or median in estimating the center of a symmetric distribution.
- Coherent structures in swirling flows and their role in acoustic combustion control
Cited by
- Covariance matrix adaptation evolution strategy based design of fixed structure robust H∞ loop shaping controller
- Tuning evolutionary search for closed-loop optimization
- A Note on the Effects of Enforcing Bound Constraints on Algorithm Comparisons using the IEEE CEC'05 Benchmark Function Suite.
- Optimisation de placement des puits
- Adaptive Operator Selection for Optimization. (Selection Adaptative d'Operateurs pour l'Optimisation)
- Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope
- Products, patents and productivity persistence: A DSGE model of endogenous growth
- CMA-ES with Two-Point Step-Size Adaptation
- Accelerating Submovement Decomposition With Search-Space Reduction Heuristics
- A CMA-ES for Mixed-Integer Nonlinear Optimization
- Globally convergent evolution strategies with application to Earth imaging problem in geophysics
- Using Evolution Strategy with Meta-models for Well Placement Optimization
- Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive Learning (FOCAL)
- Constrained Bayesian Optimization and Applications
- LM-CMA: An Alternative to L-BFGS for Large-Scale Black Box Optimization
- Closed-Loop Turbulence Control: Progress and Challenges
- Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models
- Uncertainty handling CMA-ES for reinforcement learning
- Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
- Ordinal Regression by a Generalized Force-Based Model
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