- author = "Gustavo Olague and Cesar Puente",
- title = "Parisian evolution with honeybees for three-dimensional reconstruction",
- booktitle = "{GECCO 2006:} Proceedings of the 8th annual conference on Genetic and evolutionary computation",
- year = "2006",
- editor = "Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos {Coello Coello} and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens",
- volume = "1",
- pages = "191--198",
- address = "Seattle, Washington, USA",
- publisher = "ACM Press",
- publisher_address = "New York, NY, 10286-1405, USA",
- month = "8-12 " # jul,
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming, Artificial Life Evolutionary Robotics, Adaptive Behavior, 3D/stereo scene analysis, coherence and coordination, evolution strategies, ES, evolutionary computer vision, honeybee search algorithm, modelling and recovery of physical attributes, perceptual reasoning, theory",
- ISBN = "1-59593-186-4",
-
URL = "
https://gpbib.cs.ucl.ac.uk/gecco2006/docs/p191.pdf",
-
DOI = "
doi:10.1145/1143997.1144030",
- size = "8 pages",
- abstract = "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.",
-
notes = "GECCO-2006 A joint meeting of the fifteenth
international conference on genetic algorithms
(ICGA-2006) and the eleventh annual genetic programming
conference (GP-2006).
ACM Order Number 910060",
