Managing Diversity and Many Objectives in Evolutionary Design
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gp-bibliography.bib Revision:1.8120
- @InProceedings{Basher:2022:CEC,
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author = "Sheikh Faishal Basher and Brian J. Ross",
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booktitle = "2022 IEEE Congress on Evolutionary Computation (CEC)",
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title = "Managing Diversity and Many Objectives in Evolutionary
Design",
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year = "2022",
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editor = "Carlos A. Coello Coello and Sanaz Mostaghim",
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address = "Padua, Italy",
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month = "18-23 " # jul,
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isbn13 = "978-1-6654-6708-7",
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abstract = "A new approach to evolving a diversity of high-quality
solutions for problems having many objectives is
presented. Mouret and Clunes MAP-Elites algorithm has
been proposed as a way to evolve an assortment of
diverse solutions to a problem. We extend MAP-Elites in
a number of ways. We introduce into MAP-elites the many
objective strategy called sum-of-ranks, which enables
problems with many objectives (4 and more) to be
considered in the MAP. We also enhance MAP-Elites by
extending it with multiple solutions per cell (the
original MAP-Elites saves only a single solution per
cell). Different ways of selecting cell members for
reproduction are also considered. We test the new
MAP-Elites strategies on the evolutionary art
application of image generation. Using procedural
textures, genetic programming is used with upwards of
15 light weight image features to guide fitness. The
goal is to evolve images that share image features with
a given target image. Our experiments show that the new
MAP-Elites algorithms produce a large number of diverse
solutions, which can be competitive in quality to those
from standard GP runs.",
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keywords = "genetic algorithms, genetic programming,
Visualization, Image synthesis, Image color analysis,
Sociology, Search problems, Entropy, Performance
analysis, Diversity, Many-objective Optimization,
Evolutionary Art, Procedural Texture",
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DOI = "doi:10.1109/CEC55065.2022.9870353",
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notes = "Also known as \cite{9870353}",
- }
Genetic Programming entries for
Sheikh Faishal Basher
Brian J Ross
Citations