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» On the Brittleness of Evolutionary Algorithms
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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 7 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski

Publication
319views
14 years 4 months ago
 Viability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natur...
Claudio Mattiussi
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
15 years 11 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
An evolutionary synthesis method to design low-sensitivity IIR filters with linear phase in the passband is presented. The method uses a chromosome coding scheme based on the grap...
Leonardo Bruno de Sá, Antonio Carneiro Mesq...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 11 months ago
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
Corina Rotar