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GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 9 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
GECCO
2010
Springer
167views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolving CPPNs to grow three-dimensional physical structures
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
Joshua E. Auerbach, Josh C. Bongard
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
13 years 9 months ago
Fitting multi-planet transit models to photometric time-data series by evolution strategies
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Andreas M. Chwatal, Günther R. Raidl, Michael...
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
13 years 9 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolutionary optimization of flavors
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...
SWARM
2010
SPRINGER
231views Optimization» more  SWARM 2010»
13 years 9 months ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive wei...
Abdallah Qteish, Mohammad Hamdan
SWARM
2010
SPRINGER
219views Optimization» more  SWARM 2010»
13 years 9 months ago
Biogeography Migration Algorithm for Traveling Salesman Problem
Biogeography-based optimization algorithm(BBO) is a new kind of optimization algorithm based on Biogeography. It is designed based on the migration strategy of animals to solve the...
Hongwei Mo, Lifang Xu