Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
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
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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
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A Quasi-Dense Approach to Surface Reconstruction from Uncalibrated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new accurate and flexible model based multi-corner detector for measurement and recognition
Pattern Recognition Letters
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Preface: Introduction to the special issue on evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
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
Research frontier: the evolution of swarm grammars-growing trees, crafting art, and bottom-up design
IEEE Computational Intelligence Magazine
Automatic design of vision-based obstacle avoidance controllers using genetic programming
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
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This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve increasingly complex problems, we must develop effective techniques for evolving cooperative solutions in the form of interacting coadapted subcomponents. A new adaptive behavior strategy is presented based on the "divide and conquer" approach used by the honeybee colony to solve search problems. 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.