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GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
13 years 8 months 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»
13 years 8 months 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»
13 years 8 months 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»
13 years 8 months 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»
13 years 8 months 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
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 8 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
13 years 8 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolutionary interactive music composition
This paper proposes the CFE framework--Composition, Feedback, and Evolution--and presents an interactive music composition system. The system composes short, manageable pieces of ...
Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, ...