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ICIP
2009
IEEE
10 years 2 months ago
Genetic algorithms for 3d reconstruction with supershapes
Supershape model is a recent primitive that represents numerous 3D shapes with several symmetry axes. The main interest of this model is its capability to reconstruct more complex...
Sophie Voisin, Mongi A. Abidi, Sebti Foufou, Fr&ea...
IEAAIE
2010
Springer
10 years 2 months ago
Tabu Search with Consistent Neighbourhood for Strip Packing
This paper introduces a new tabu search algorithm for a strip packing problem. It integrates several key features: A consistent neighborhood, a fitness function including problem k...
Giglia Gómez-Villouta, Jean-Philippe Hamiez...
TEC
2008
135views more  TEC 2008»
10 years 3 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe
RAS
2002
131views more  RAS 2002»
10 years 4 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada
PRL
2002
128views more  PRL 2002»
10 years 4 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
10 years 5 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
10 years 5 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
WCE
2007
10 years 5 months ago
Game Theory Using Genetic Algorithms
—In this paper we used genetic algorithms to1 find the solution of game theory. We proposed new method foe solving game theory and find the optimal strategy for player A or playe...
Ismail A. Ismail, Nabawia A. El Ramly, M. M. El Ka...
FLAIRS
2000
10 years 5 months ago
Partitioning Sets with Genetic Algorithms
We first revisit a problem in the literature of genetic algorithms: arranging numbers into groups whose summed weights are as nearly equal as possible. We provide a new genetic al...
William A. Greene
NCS
2008
87views more  NCS 2008»
10 years 5 months ago
Evolution and Collective Intelligence of the Electric Sheep
r a fitness function for exploring a space of abstract animations. Users also may design sheep by hand for inclusion in the gene pool. The name Electric Sheep is an homage to Phili...
Scott Draves
books