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» Crossover can provably be useful in evolutionary computation
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PPSN
2004
Springer
15 years 3 months ago
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...
Hendrik Richter
90
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
66
Voted
PPSN
2004
Springer
15 years 3 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
EC
2011
262views ECommerce» more  EC 2011»
14 years 4 months ago
Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission
Whereas the current practice of designing antennas by hand is severely limited because it is both time and labor intensive and requires a significant amount of domain knowledge, ...
Gregory Hornby, Jason D. Lohn, Derek S. Linden
79
Voted
CDC
2009
IEEE
165views Control Systems» more  CDC 2009»
15 years 2 months ago
Achieving symmetric Pareto Nash equilibria using biased replicator dynamics
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
Kiran Somasundaram, John S. Baras