Expensive optimization, uncertain environment: an EA-based solution
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Computational Optimization and Applications
Future Generation Computer Systems
Reduced computation for evolutionary optimization in noisy environment
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Real-World Applications of Multiobjective Optimization
Multiobjective Optimization
Multi-objective evolutionary simulation-optimisation of a real-world manufacturing problem
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A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization
Genetic Programming and Evolvable Machines
Multi-objective optimization with controlled model assisted evolution strategies
Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An effective intelligent algorithm for stochastic optimization problem
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
A systems approach to evolutionary multiobjective structural optimization and beyond
IEEE Computational Intelligence Magazine
Closed-loop evolutionary multiobjective optimization
IEEE Computational Intelligence Magazine
Evolutionary Model Type Selection for Global Surrogate Modeling
The Journal of Machine Learning Research
Improved image halftoning technique using GAs with concurrent inter-block evaluation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Vibration control of suspension system based on a hybrid intelligent control algorithm
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Model-assisted steady-state evolution strategies
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
On the performance of metamodel assisted MOEA/D
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Multi-processor system-on-chip design space exploration based on multi-level modeling techniques
SAMOS'09 Proceedings of the 9th international conference on Systems, architectures, modeling and simulation
Generalizing surrogate-assisted evolutionary computation
IEEE Transactions on Evolutionary Computation
Expensive multiobjective optimization by MOEA/D with Gaussian process model
IEEE Transactions on Evolutionary Computation
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Proceedings of the 47th Design Automation Conference
Optimal design of aeroengine turbine disc based on kriging surrogate models
Computers and Structures
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
Robust design of a re-entry unmanned space vehicle by multi-fidelity evolution control
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Multi-objective reliability-based optimization with stochastic metamodels
Evolutionary Computation
On evolutionary optimization of large problems using small populations
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Local meta-models for optimization using evolution strategies
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Ordinal regression in evolutionary computation
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Automatic tuning of agent-based models using genetic algorithms
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Machine learning for global optimization
Computational Optimization and Applications
Multiobjective optimization on a budget of 250 evaluations
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A computational intelligence algorithm for simulation-driven optimization problems
Advances in Engineering Software
Parameter space exploration of agent-based models
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
A classifier-assisted framework for expensive optimization problems: a knowledge-mining approach
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Comparison of global optimization methods for drag reduction in the automotive industry
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Numerical assessment of metamodelling strategies in computationally intensive optimization
Environmental Modelling & Software
Evolutionary multimodal optimization using the principle of locality
Information Sciences: an International Journal
Proceedings of the 49th Annual Design Automation Conference
Blood sugar regularization based evolutionary algorithm for data classification
Applied Soft Computing
Resampling methods for meta-model validation with recommendations for evolutionary computation
Evolutionary Computation
Hoeffding bound based evolutionary algorithm for symbolic regression
Engineering Applications of Artificial Intelligence
A computational intelligence algorithm for expensive engineering optimization problems
Engineering Applications of Artificial Intelligence
Higher-order linkage learning in the ECGA
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Information Sciences: an International Journal
Parametric optimization of reconfigurable designs using machine learning
ARC'13 Proceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications
An evolution strategy assisted by an ensemble of local Gaussian process models
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Evolution by adapting surrogates
Evolutionary Computation
A simulated annealing algorithm based approach for balancing and sequencing of mixed-model U-lines
Computers and Industrial Engineering
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It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are unclear due to the approximation error of the model. In this paper, extensive empirical studies are carried out to investigate the convergence properties of an evolution strategy using an approximate fitness function on two benchmark problems. It is found that incorrect convergence will occur if the approximate model has false optima. To address this problem, individual- and generation-based evolution control are introduced and the resulting effects on the convergence properties are presented. A framework for managing approximate models in generation-based evolution control is proposed. This framework is well suited for parallel evolutionary optimization, which is able to guarantee the correct convergence of the evolutionary algorithm, as well as to reduce the computation cost as much as possible. Control of the evolution and updating of the approximate models are based on the estimated fidelity of the approximate model. Numerical results are presented for three test problems and for an aerodynamic design example