Automated Photogrammetric Network Design using the Parisian Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.8481

@InProceedings{dunn:evows05,

• author = "Enrique Dunn and Gustavo Olague and Evelyne Lutton",
• title = "Automated Photogrammetric Network Design using the Parisian Approach",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2005: {EvoBIO}, {EvoCOMNET}, {EvoHOT}, {EvoIASP}, {EvoMUSART}, {EvoSTOC}",
• year = "2005",
• month = "30 " # mar # "-1 " # apr,
• editor = "Franz Rothlauf and Juergen Branke and Stefano Cagnoni and David W. Corne and Rolf Drechsler and Yaochu Jin and Penousal Machado and Elena Marchiori and Juan Romero and George D. Smith and Giovanni Squillero",
• series = "LNCS",
• volume = "3449",
• publisher = "Springer Verlag",
• address = "Lausanne, Switzerland",
• publisher_address = "Berlin",
• pages = "356--365",
• note = "Nominated for Best Paper Award",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, Photogrammetric Network Design",
• ISBN = "3-540-25396-3",
• ISSN = "0302-9743",
• URL = "https://evovision.cicese.mx/dunn_parisian.pdf",
• URL = "https://rdcu.be/eybvp",
• DOI = "doi:10.1007/978-3-540-32003-6_36",
• size = "10 pages",
• abstract = "We present a novel camera network design methodology based on the Parisian approach to evolutionary computation. The problem is partitioned into a set of homogeneous elements, whose individual contribution to the problem solution can be evaluated separately. These elements are allocated in a population with the goal of creating a single solution by a process of aggregation. Thus, the goal of the evolutionary process is to generate individuals that jointly form better solutions. Under the proposed paradigm, aspects such as problem decomposition and representation, as well as local and global fitness integration need to be addressed. Experimental results illustrate significant improvements, in terms of solution quality and computational cost, when compared to canonical evolutionary approaches",
• notes = "EvoWorkshops2005",

}

Genetic Programming entries for Enrique Dunn Gustavo Olague Evelyne Lutton

Citations