Statistical tools for simulation practitioners
Statistical tools for simulation practitioners
Intelligent building systems
The theory of evolution strategies
The theory of evolution strategies
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Averaging Efficiently in the Presence of Noise
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
On Risky Methods for Local Selection under Noise
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Advances in Computational Intelligence: Theory and Practice
Advances in Computational Intelligence: Theory and Practice
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
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Efficient elevator group control is important for the operation of large buildings. Recent developments in this field include the use of fuzzy logic and neural networks. This paper summarizes the development of an evolution strategy (ES) that is capable of optimizing the neuro-controller of an elevator group controller. It extends the results that were based on a simplified elevator group controller simulator. A threshold selection technique is presented as a method to cope with noisy fitness function values during the optimization run. Experimental design techniques are used to analyze first experimental results.