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109
Voted
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 8 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 9 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
241
Voted
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 8 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
121
Voted
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 6 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
110
Voted
EMMCVPR
2009
Springer
15 years 9 months ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger