Sciweavers

GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 14 days ago
Evolutionary design of single-mode microstructured polymer optical fibres using an artificial embryogeny representation
Polymer microstructured optical fibres are a relatively recent development in optical fibre technology, supporting a wide variety of microstructure fibre geometries, when compared...
Steven Manos, Maryanne Large, Leon Poladian
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 14 days ago
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching
A large and reliable DNA codeword library is key to the success of DNA based computing. Searching for sets of reliable DNA codewords is an NP-hard problem, which can take days on ...
Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
14 years 14 days ago
How genetic algorithms can improve a pacemaker efficiency
Laurent Dumas, Linda El Alaoui
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 14 days ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 14 days ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 14 days ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 14 days ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 14 days ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 14 days ago
Diverse committees vote for dependable profits
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
Wei Yan, Christopher D. Clack
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
14 years 14 days ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee