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Titlebook: Swarm Intelligence Based Optimization; First International Patrick Siarry,Lhassane Idoumghar,Julien Lepagnot Conference proceedings 2014 S

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书目名称Swarm Intelligence Based Optimization
副标题First International
编辑Patrick Siarry,Lhassane Idoumghar,Julien Lepagnot
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Swarm Intelligence Based Optimization; First International  Patrick Siarry,Lhassane Idoumghar,Julien Lepagnot Conference proceedings 2014 S
描述This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.
出版日期Conference proceedings 2014
关键词ant colony optimization; artificial immune system; bee foraging; bio-inspired; clustering; combinatorial
版次1
doihttps://doi.org/10.1007/978-3-319-12970-9
isbn_softcover978-3-319-12969-3
isbn_ebook978-3-319-12970-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Swarm Intelligence Based Optimization978-3-319-12970-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Using Bio-inspired Algorithm to Compensate Web Page Color Contrast for Dichromat Users,t users. A study over the entire sRGB color space showed that the loss experienced by a dichromat user may be significant. With the current approach, we assess the interest of using API for our problem. Several tests for different parameters settings were performed on both real and synthetic data in order to assess the algorithm efficiency.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/t/image/883674.jpg
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Comparison of Two Swarm Intelligence Optimization Algorithms on the Textual Color Problem for Web Able access time for the web content. To solve the textual color problem for accessibility, we adapt two swarm intelligence based optimization methods (ABC and API) and we hybridize them with a line search.
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