Sciweavers

1830 search results - page 173 / 366
» Optimizing Sorting with Genetic Algorithms
Sort
View
67
Voted
AINA
2009
IEEE
15 years 5 months ago
Reliability-Driven Reputation Based Scheduling for Public-Resource Computing Using GA
— For an application in public-resource computing environments, providing reliable scheduling based on resource reliability evaluation is becoming increasingly important. Most ex...
Xiaofeng Wang, Chee Shin Yeo, Rajkumar Buyya, Jins...
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
15 years 1 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
93
Voted
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
Characterizing the dynamics of symmetry breaking in genetic programming
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Jason M. Daida
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving stable behavior in a spino-neuromuscular system model
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
Stanley Phillips Gotshall, Terry Soule
95
Voted
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 3 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule