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» On the Brittleness of Evolutionary Algorithms
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 9 days 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...
EVOW
2010
Springer
16 years 29 days ago
Evolutionary Algorithm for Generation of Entertaining Shinro Logic Puzzles
A Shinro puzzle is a type of deductive reasoning puzzle that originated in Japanese periodicals. To solve the puzzle, one must locate twelve hidden stones on an 8x8 grid using only...
David Oranchak
EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 11 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
PPSN
2004
Springer
15 years 11 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 9 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...