Sciweavers

GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
14 years 7 days ago
A tree-based genetic algorithm for building rectilinear Steiner arborescences
A rectilinear Steiner arborescence (RSA) is a tree, whose nodes include a prescribed set of points, termed the vertices, in the first quadrant of the Cartesian plane, and whose tr...
William A. Greene
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 7 days ago
The correlation-triggered adaptive variance scaling IDEA
It has previously been shown analytically and experimentally that continuous Estimation of Distribution Algorithms (EDAs) based on the normal pdf can easily suffer from premature ...
Jörn Grahl, Peter A. N. Bosman, Franz Rothlau...
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 7 days ago
Hybrid search for cardinality constrained portfolio optimization
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
14 years 7 days ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 7 days ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
14 years 7 days ago
Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associat...
Xiaojun Geng
GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
14 years 7 days ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 7 days ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim