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Evolution of image filters on graphics processor units using Cartesian Genetic Programming

Simon Harding
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2dmkezwdzrcofn7zdzzte2h75i" style="color: black;">2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)</a> </i> &nbsp;
In this work, we use Cartesian Genetic Programming to generate shader programs that implement image filter operations.  ...  Using the GPU, we can rapidly apply these programs to each pixel in an image and evaluate the performance of a given filter.  ...  CARTESIAN GENETIC PROGRAMMING Cartesian Genetic Programming was originally developed by Miller and Thomson [15] for the purpose of evolving digital circuits and represents a program as a directed graph  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cec.2008.4631051">doi:10.1109/cec.2008.4631051</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cec/Harding08.html">dblp:conf/cec/Harding08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjnyqgz7drcejnmoau6g4m4one">fatcat:vjnyqgz7drcejnmoau6g4m4one</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150211235018/http://www.gpgpgpu.com/papers/EC0465.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/62/d9/62d9b41bbc711936ceeaaa59f64c1b6072037c73.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cec.2008.4631051"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Engineering of Computer Vision Algorithms Using Evolutionary Algorithms [chapter]

Marc Ebner
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Simulated evolution, in particular Genetic Programming, is used to automatically generate and test alternative computer vision algorithms.  ...  We have developed a system for the automatic generation of computer vision algorithms at interactive frame rates using GPU accelerated image processing.  ...  Fig. 1 . 1 (a) Tree-based Genetic Programming (b) Linear Genetic Programming (c) Cartesian Genetic Programming process. Genetic Programming can be used to automate this process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04697-1_34">doi:10.1007/978-3-642-04697-1_34</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ck5dowmop5hhvhzuw4ja2lr4f4">fatcat:ck5dowmop5hhvhzuw4ja2lr4f4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401144131/http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu2/EvoCVengineering.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/cb/29cbc4e99da6570231cf87355223a8d40ec59238.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04697-1_34"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Tony E. Lewis, George D. Magoulas
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fdhfwmjdwjbvxo6zc7cdt5hi7q" style="color: black;">Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO &#39;09</a> </i> &nbsp;
In this paper, we describe our work to investigate how much cyclic graph based Genetic Programming (GP) can be accelerated on one machine using currently available mid-range Graphics Processing Units (  ...  GPUs).  ...  ACKNOWLEDGEMENTS The authors wish to thank the EPSRC for funding this research through a DTA award and the staff at Birkbeck for their help and support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1569901.1570086">doi:10.1145/1569901.1570086</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/gecco/LewisM09.html">dblp:conf/gecco/LewisM09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6cpqx2bobbgs7lopftn654x4ci">fatcat:6cpqx2bobbgs7lopftn654x4ci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401062643/http://www.dcs.bbk.ac.uk/~gmagoulas/p1379.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1d/b5/1db544ec023618a1320c9ba5b56e7a4279d26061.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1569901.1570086"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A SIMD Interpreter for Genetic Programming on GPU Graphics Cards [chapter]

W. B. Langdon, Wolfgang Banzhaf
<span title="">2008</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We use the RapidMind general processing on GPU (GPGPU) framework to evaluate an entire population of a quarter of a million individual programs on a non-trivial problem in 4 seconds.  ...  Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility of evaluating genetic programming populations directly on parallel consumer gaming graphics processing  ...  [Harding and Banzhaf, 2007] were able to show far higher (peak) speed ups when they ran the fitness evaluation of cartesian genetic programming on a GPU.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-78671-9_7">doi:10.1007/978-3-540-78671-9_7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5wynoiabzhw3cvvmy4y7rjsxa">fatcat:c5wynoiabzhw3cvvmy4y7rjsxa</a> </span>
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Genetic programming on GPUs for image processing

S. Harding, W. Banzhaf
<span title="">2008</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4qyycxrpsbeqtoiy2ci2wqq7f4" style="color: black;">International Journal of High Performance Systems Architecture</a> </i> &nbsp;
The evolution of image filters using Genetic Programming is a relatively unexplored task. This is most likely due to the high computational cost of evaluating the evolved programs.  ...  We use the parallel processors available on modern graphics cards to greatly increase the speed of evaluation. Previous papers in this area dealt with noise reduction and edge detection.  ...  CARTESIAN GENETIC PROGRAMMING Cartesian Genetic Programming was originally developed by Miller and Thomson [5] for the purpose of evolving digital circuits and represents a program as a directed graph  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijhpsa.2008.024207">doi:10.1504/ijhpsa.2008.024207</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/roggibsz5ve5fi3vkbwfqvinmy">fatcat:roggibsz5ve5fi3vkbwfqvinmy</a> </span>
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Parallel Genetic Programming on Graphics Processing Units [chapter]

Douglas A., Heder S., Helio J.C.
<span title="2012-10-18">2012</span> <i title="InTech"> Genetic Programming - New Approaches and Successful Applications </i> &nbsp;
Acknowledgements The authors would like to thank the support provided by CNPq (grants 308317/2009-2 and 300192/2012-6) and FAPERJ (grant E-26/102.025/2009).  ...  Genetic programming on GPU: A bit of history It is natural to begin the history of GP on GPUs referring to the first improvements obtained by parallelization of a GA on programmable graphics hardware.  ...  The parallelism of GP techniques on GPU is not restricted only to linear, tree, and graph (Cartesian) representations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/48364">doi:10.5772/48364</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/67pneyysnfcndg4ibj4jwdk3ae">fatcat:67pneyysnfcndg4ibj4jwdk3ae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170815072513/http://cdn.intechopen.com/pdfs/40292/InTech-Parallel_genetic_programming_on_graphics_processing_units.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/6c/ad6c7bed862f22ed9ac0d4dcdaca82eec2fa93fd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/48364"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Fast Genetic Programming and Artificial Developmental Systems on GPUs

Simon Harding, Wolfgang Banzhaf
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qbcyvrkrbbdcfb65juklunsa44" style="color: black;">21st International Symposium on High Performance Computing Systems and Applications (HPCS&#39;07)</a> </i> &nbsp;
In this paper we demonstrate the use of the Graphics Processing Unit (GPU) to accelerate Evolutionary Computation applications, in particular Genetic Programming approaches.  ...  We show that it is possible to get speed increases of several hundred times over a typical CPU implementation, catapulting GPU processing for these applications into the realm of HPC.  ...  Section 4 briefly explains how Genetic Programming can be implemented on a GPU. Section 5 reports on running GP benchmarks on a GPU.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hpcs.2007.17">doi:10.1109/hpcs.2007.17</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/hpcs/HardingB07.html">dblp:conf/hpcs/HardingB07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yfrxmhug6fhzlcgflangrfkqaq">fatcat:yfrxmhug6fhzlcgflangrfkqaq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810110813/http://www.cs.mun.ca/~banzhaf/papers/HPCS07.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/6a/606a6f5cbc73f3e9ed397f950c151de2022c60c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hpcs.2007.17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs [chapter]

Simon Harding, W. Banzhaf
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqt3yqhkxvcubnonwg57er4tdq" style="color: black;">Studies in Computational Intelligence</a> </i> &nbsp;
We present work on optimized shape design using a technique from the area of Genetic Programming, self-modifying Cartesian Genetic Programming (SMCGP), to evolve shapes with specific criteria, such as  ...  Fitness evaluation of the genetic programming technique is accomplished through a custom implementation of a fluid dynamics solver running on graphics processing units (GPUs).  ...  Self-modifying Cartesian Genetic Programming (SMCGP) Self-modifying Cartesian Genetic Programming (SMCGP) is a developmental version of Genetic Programming.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-28789-3_3">doi:10.1007/978-3-642-28789-3_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c625ysjdlffe7m4nddrtgsgayu">fatcat:c625ysjdlffe7m4nddrtgsgayu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320223951/http://www.cs.mun.ca/~banzhaf/papers/OptimizingShapeDesign_2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b9/94/b99449769fca8abf695990fd40ef5617ee2fd84e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-28789-3_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Many Threaded CUDA Interpreter for Genetic Programming [chapter]

W. B. Langdon
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
A Single Instruction Multiple Thread CUDA interpreter provides SIMD like parallel evaluation of the whole GP population of 1 4 million reverse polish notation (RPN) expressions on graphics cards and nVidia  ...  Using sub-machine code tree GP a sustain peak performance of 665 billion GP operations per second (10,000 speed up) and an average of 22 peta GP ops per day is reported for a single GPU card on a Boolean  ...  of the next fastest single GPU genetic programming system [21] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-12148-7_13">doi:10.1007/978-3-642-12148-7_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxjl62hkmfdizd6zq2blybrc4y">fatcat:sxjl62hkmfdizd6zq2blybrc4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809084327/http://www0.cs.ucl.ac.uk/staff/w.langdon/ftp/public/papers/langdon_2010_eurogp.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/64/f2/64f24670ab87bb9d55ef8a6f12a63651bf59fe17.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-12148-7_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Adaptive On-Line Evolutionary Visual System

Marc Ebner
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hlrroicaxjahdhhqcnqjr6lslu" style="color: black;">2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops</a> </i> &nbsp;
In contrast of this standard form of algorithm evolution, it is proposed to develop a vision system which continuously evolves algorithms based on the task at hand.  ...  This adaptation of computer vision algorithms would happen on-line for every image which is presented to the system. Such a system would continuously adapt to new environmental conditions.  ...  A third representation, known as Cartesian Genetic Programming works with a two-dimensional grid of operators [22] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sasow.2008.18">doi:10.1109/sasow.2008.18</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/saso/Ebner08.html">dblp:conf/saso/Ebner08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7x5ytgtlnhyhlrk7upiarhgse">fatcat:e7x5ytgtlnhyhlrk7upiarhgse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110401144329/http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu2/perada.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c6/2d/c62d027b6a7b931f04d55acd590919fdece39dbc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sasow.2008.18"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Building Image Feature Kinetics for Cement Hydration Using Gene Expression Programming With Similarity Weight Tournament Selection

Lin Wang, Bo Yang, Shoude Wang, Zhifeng Liang
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dqtjwgdgmjazlimlppwouyrzcq" style="color: black;">IEEE Transactions on Evolutionary Computation</a> </i> &nbsp;
.: Using software simulators to enhance the learning of digital logic design for the information technology students.  ...  .: Cartesian Genetic Programming.  ...  using Cartesian Genetic Programming.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2014.2367111">doi:10.1109/tevc.2014.2367111</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dsfdt3ngn5htfdg4ydmofrqznm">fatcat:dsfdt3ngn5htfdg4ydmofrqznm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829072456/http://www.fit.vutbr.cz/~sekanina/publ/cited_in.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/61/68/6168c61c94af7043863d6e257a21c9a4e13e4f99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2014.2367111"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Neuroevolution in Deep Learning: The Role of Neutrality [article]

Edgar Galván
<span title="2021-02-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A mutation from one gene to another is neutral if it does not affect the phenotype.  ...  These methods play a crucial role in the success or failure of the DNN for most problems and applications.  ...  [39, 40] using GAs and hundreds of GPUs as well as the work carried out by Suganuma et al. [45] employing Cartesian Genetic Programming and using only a few GPUs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.08475v1">arXiv:2102.08475v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uuf46tfhv5h6ndg2f7c62ktxia">fatcat:uuf46tfhv5h6ndg2f7c62ktxia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210219012017/https://arxiv.org/pdf/2102.08475v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/82/1982d6185386d7fa0348653d501a766c8e5eb142.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.08475v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Real-Time Evolutionary Object Recognition System [chapter]

Marc Ebner
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Genetic Programming is used to automatically search the space of possible computer vision programs guided through user interaction.  ...  Several different alternative algorithms are evaluated in the background for each input image. Real-time performance is achieved through the use of the GPU for image processing operations.  ...  Our system is based on a Cartesian Genetic Programming representation. High-level image processing operations are used as input nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-01181-8_23">doi:10.1007/978-3-642-01181-8_23</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v3my4ph7djerrlwaqg72wbp3ji">fatcat:v3my4ph7djerrlwaqg72wbp3ji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922232319/http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu2/EvoCV.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/71/42/714231dfddc2cf56ebe59538d723ba23816adb20.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-01181-8_23"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Graphics processing units and genetic programming: an overview

W. B. Langdon
<span title="2011-03-02">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e5brmbb4nne2bb6o5whxervgii" style="color: black;">Soft Computing - A Fusion of Foundations, Methodologies and Applications</a> </i> &nbsp;
In particular we survey genetic programming (GP) use with GPU. We give several applications from Bioinformatics and show how the fastest GP is based on an interpreter rather than compilation.  ...  We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU).  ...  In [45] Microsoft's accelerator research tool was used to compile Cartesian GP graph individuals into programs and run them on a GPU.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00500-011-0695-2">doi:10.1007/s00500-011-0695-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bx4bbbcbmzg7riumnaznbldaz4">fatcat:bx4bbbcbmzg7riumnaznbldaz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813110657/http://www0.cs.ucl.ac.uk/staff/wlangdon/ftp/papers/langdon_gpu.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/81/10813a06f2a4fdfd7d558aa5ee0966a1b7ef5cf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00500-011-0695-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Introduction: special issue on parallel and distributed evolutionary algorithms, part I

Marco Tomassini, Leonardo Vanneschi
<span title="2009-10-22">2009</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kaqfiyu23jaedmsqlirt7rbdxq" style="color: black;">Genetic Programming and Evolvable Machines</a> </i> &nbsp;
Furthermore, by attributing a non-panmictic structure to the population, something that also finds its inspiration in nature, genetic operations can be performed independently of each other and thus can  ...  This is the case, for instance, for the evaluation of the fitness of the individuals in a population.  ...  Working with the widely-used ECJ system they produced a novel system for genetic programming on Nvidia G80 GPUs and demonstrated significant new speed improvements.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10710-009-9094-1">doi:10.1007/s10710-009-9094-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fkgnzvexcjeyvdflbrtckussxi">fatcat:fkgnzvexcjeyvdflbrtckussxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190324014058/https://core.ac.uk/download/pdf/159144461.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/2c/752ceba930df7acb542664248e77dbbc22718392.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10710-009-9094-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>
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