Sciweavers

GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 4 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
GECCO
2010
Springer
190views Optimization» more  GECCO 2010»
14 years 4 months ago
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed
In this paper, we compare the (1+1)-CMA-ES to the (1+2s m)CMA-ES, a recently introduced quasi-random (1+2)-CMAES that uses mirroring as derandomization technique as well as a sequ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
14 years 4 months ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
GECCO
2010
Springer
199views Optimization» more  GECCO 2010»
14 years 4 months ago
A comparative study: function approximation with LWPR and XCSF
Patrick O. Stalph, Jérémie Rubinszta...
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 4 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 4 months ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 4 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 4 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
GECCO
2010
Springer
209views Optimization» more  GECCO 2010»
14 years 4 months ago
Ant colony optimization and the minimum cut problem
Timo Kötzing, Per Kristian Lehre, Frank Neuma...
GECCO
2010
Springer
151views Optimization» more  GECCO 2010»
14 years 4 months ago
Sustaining behavioral diversity in NEAT
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
Hirotaka Moriguchi, Shinichi Honiden