Sciweavers

GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 6 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
14 years 6 months ago
Disburdening the species conservation evolutionary algorithm of arguing with radii
Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumi...
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 6 months ago
Targeted filter evolution for improved image reconstruction resolution
Michael R. Peterson, Gary B. Lamont, Frank W. Moor...
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
14 years 6 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 6 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
14 years 6 months ago
Improving global numerical optimization using a search-space reduction algorithm
We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate ...
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 6 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 6 months ago
Investigating data-flow coverage of classes using evolutionary algorithms
It is not unusual for a software development organization to expend 40 percent of total project effort on testing, which can be a very laborious and time-consuming process. Thus, ...
Konstantinos Liaskos, Marc Roper, Murray Wood
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
14 years 6 months ago
An approach to analyze the evolution of symbolic conditions in learning classifier systems
Pier Luca Lanzi, Stefano Rocca, Stefania Solari