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» Solving Mastermind Using Genetic Algorithms
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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 10 days ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
IFSA
2003
Springer
179views Fuzzy Logic» more  IFSA 2003»
14 years 1 months ago
A CHC Evolutionary Algorithm for 3D Image Registration
Image registration has been a very active research area in the computer vision community. In the last few years, there is an increasing interest on the application of Evolutionary ...
Oscar Cordón, Sergio Damas, Jose Santamar&i...
CEC
2008
IEEE
14 years 3 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
IJAR
2010
153views more  IJAR 2010»
13 years 7 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon