Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The GSM System for Mobile Communications
The GSM System for Mobile Communications
Schemata, Distributions and Graphical Models in Evolutionary Optimization
Journal of Heuristics
The Breeder Genetic Algorithm for Frequency Assignment
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
The Frequency Assignment Problem: A Look at the Performance of Evolutionary Search
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
The equation for response to selection and its use for prediction
Evolutionary Computation
Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions
Evolutionary Computation
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We give a short introduction to the results of our theoretical analysis of evolutionary algorithms. These results are used to design an algorithm for a large real-world problem: the placement of antennas for mobile radio networks. Our model for the antenna placement problem (APP) addresses cover, traffic demand, interference, different parameterized antenna types, and the geometrical structure of cells. The resulting optimization problem is constrained and multi-objective. The evolutionary algorithm derived from our theoretical analysis is capable of dealing with more than 700 candidate sites in the working area. The results show that the APP is tractable. The automatically generated designs enable experts to focus their efforts on the difficult parts of a network design problem.