Sciweavers

Share
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
9 years 1 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
9 years 1 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
9 years 4 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
9 years 4 months ago
Epsilon-constraint with an efficient cultured differential evolution
In this paper we present the use of a previously developed single-objective optimization approach, together with the -constraint method, to provide an approximation of the Pareto ...
Ricardo Landa Becerra, Carlos A. Coello Coello
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
9 years 4 months ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
9 years 4 months ago
Combining bond-graphs with genetic programming for unified/automated design of mechatronic or multi domain dynamic systems
The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables are require...
Saheeb Ahmed Kayani, Muhammad Afzaal Malik
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
9 years 4 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
books