Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Ant algorithms for discrete optimization
Artificial Life
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Using an Individual Evolution Strategy for Stereovision
Genetic Programming and Evolvable Machines
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
Pattern Recognition Letters
Dynamic Flies: Using Real-Time Parisian Evolution in Robotics
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
A new accurate and flexible model based multi-corner detector for measurement and recognition
Pattern Recognition Letters
Parisian camera placement for vision metrology
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Accurate L-corner measurement using USEF functions and evolutionary algorithms
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Hybrid evolutionary ridge regression approach for high-accurate corner extraction
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multitask visual learning using genetic programming
Evolutionary Computation
Automated design of image operators that detect interest points
Evolutionary Computation
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
Artificial creatures for object tracking and segmentation
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Using bees hill flux balance analysis (BHFBA) for in silico microbial strain optimization
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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This paper investigates the communication system of honeybees with the purpose of obtaining an intelligent approach for three-dimensional reconstruction. A new framework is proposed in which the 3D points communicate between them to achieve an improved sparse reconstruction which could be used reliable in further visual computing tasks. The general ideas that explain the honeybee behavior are translated into a computational algorithm following the evolutionary computing paradigm. Experiments demonstrate the importance of the proposed communication system to reduce dramatically the number of outliers.