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SOLUTION OVER-FIT CONTROL IN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION OF PATTERN CLASSIFICATION SYSTEMS

PAULO V. W. RADTKE, TONY WONG, ROBERT SABOURIN
<span title="">2009</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ctczi3cdmjfarjhjbdobmuwpkm" style="color: black;">International journal of pattern recognition and artificial intelligence</a> </i> &nbsp;
This paper details the performance of a solution over-fit control strategy used in the multiobjective evolutionary optimization of a multileveled classification system.  ...  Extensive experimental analysis using multiobjective genetic and memetic algorithms demonstrates both the need and the efficiency of the proposed over-fit control for pattern classification systems optimization  ...  Solution Over-fit Control in Evolutionary Multiobjective Optimization 1111 The classification system is modeled by two different leveled processes as illustrated in Fig. 2 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218001409007466">doi:10.1142/s0218001409007466</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kg5v7zmgtzg7daat6autltyrbq">fatcat:kg5v7zmgtzg7daat6autltyrbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809110510/http://www.etsmtl.ca/ETS/media/ImagesETS/Labo/LIVIA/Publications/2009/Radtke_IJPRAI_2009.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/d9/ba/d9ba213984d978e997c9290fe42ae42c02f47371.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218001409007466"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection [chapter]

Xavier Llorà, David E. Goldberg, Ivan Traus, Ester Bernadó
<span title="">2003</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;
In order to address some of these issues, this paper introduces a multiobjective approach to evolutionary learning systems.  ...  The learning process used in evolutionary learning systems is based on a set of training instances that sample the target concept to be learned.  ...  of the University of Illinois at Urbana-Champaign, administered by the National Center for Supercomputing Applications (NCSA) and funded by the Office of Naval Research under grant N00014-01-1-0175.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-40029-5_8">doi:10.1007/978-3-540-40029-5_8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pqkt52kd2feonopmgihbe4u5ge">fatcat:pqkt52kd2feonopmgihbe4u5ge</a> </span>
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A SURVEY REPORT ON OPTIMIZED MULTIOBJECTIVE METAHEURISTIC METHODS FOR DATA CLUSTERING USING EVOLUTIONARY APPROACHES

<span title="2017-11-06">2017</span> <i title="International Journal of Recent Trends in Engineering and Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q6j7kxpeujbvdfdbleu52jna4a" style="color: black;">International Journal of Recent Trends in Engineering and Research</a> </i> &nbsp;
The discrete optimization problem uses the cluster space to derive a solution for Multiobjective data clustering.  ...  Discovery of a majority or all of the clusters (of illogical shapes) present in the data is a long-standing goal of unsupervised predictive learning problems or exploratory pattern analysis.  ...  The Pareto optimal front is the lay down of all non-subject solutions in the multiobjective coverage.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23883/ijrter.2017.3478.x4eid">doi:10.23883/ijrter.2017.3478.x4eid</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kmlv3bllz5eptcxyzdqx274lfy">fatcat:kmlv3bllz5eptcxyzdqx274lfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602101037/http://www.ijrter.com/papers/volume-3/issue-10/a-survey-report-on-optimized-multiobjective-metaheuristic-methods-for-data-clustering-using-evolutionary-approaches.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/92/68/9268d60c388638af6f3e17a8f0ad2cb16f274b94.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23883/ijrter.2017.3478.x4eid"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems

Yang Zhang, P.I. Rockett
<span title="">2009</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sv6lf6p3jrf4vbz5puthqdqmae" style="color: black;">IEEE Transactions on Automation Science and Engineering</a> </i> &nbsp;
Published paper Zhang, Y. and Rockett, P.I. (2009) Application of multiobjective genetic programming to the design of robot failure recognition systems.  ...  Note to Practitioners -Detecting failures in robotic systems is critical to their autonomous operation since it allows mitigating/compensating control strategies to be brought into play.  ...  ACKNOWLEDGMENT Yang Zhang would like to thank for the financial support of a Universities UK Overseas Research Student Award Scheme (ORSAS) scholarship and the Henry Lester Trust.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tase.2008.2004414">doi:10.1109/tase.2008.2004414</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fgbh3o4svgkraz3fsfqdsqbdu">fatcat:2fgbh3o4svgkraz3fsfqdsqbdu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922144711/http://eprints.whiterose.ac.uk/8566/2/Rockett_Application.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/b6/df/b6df25893e9d417a4e02a367ea7ad98188688692.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tase.2008.2004414"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos Artemio Coello Coello
<span title="">2014</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;
In this paper, Part I, some basic concepts related to multiobjective optimization and data mining are provided.  ...  Subsequently, various multiobjective evolutionary approaches for two major data mining tasks, namely feature selection and classification, are surveyed.  ...  His current research interests include soft and evolutionary computing, data mining, multiobjective optimization, pattern recognition, bioinformatics, and optical networks. In 2004, Dr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2013.2290086">doi:10.1109/tevc.2013.2290086</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpgz64vyozfyrknrwvaudxevwu">fatcat:rpgz64vyozfyrknrwvaudxevwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180403183357/http://blueyetechnologies.co.in:80/wp-content/uploads/2017/08/A-Survey-of-Multiobjective-Evolutionary.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/1b/0f/1b0f4514ef7958db27c3eabe371b3a218f575746.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tevc.2013.2290086"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Preliminary Survey on Optimized Multiobjective Metaheuristic Methods for Data Clustering Using Evolutionary Approaches

Ramachandra Rao Kurada, K Karteeka Pavan, AV Dattareya Rao
<span title="2013-10-31">2013</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/plyx54ayrbefvje4gawexbdyty" style="color: black;">International Journal of Computer Science &amp; Information Technology (IJCSIT)</a> </i> &nbsp;
The discrete optimization problem uses the cluster space to derive a solution for Multiobjective data clustering.  ...  Discovery of a majority or all of the clusters (of illogical shapes) present in the data is a long-standing goal of unsupervised predictive learning problems or exploratory pattern analysis.  ...  , Control systems and robotics, Pattern recognition and Image Processing, Artificial Neural Networks and Fuzzy systems, Manufacturing, Composite Component design, Traffic engineering and transportation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcsit.2013.5504">doi:10.5121/ijcsit.2013.5504</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4b2ye5jfqvhddf23gptdk3mh2y">fatcat:4b2ye5jfqvhddf23gptdk3mh2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604171342/http://www.airccse.org/journal/jcsit/5513ijcsit04.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/54/17/5417e9c421a8c14272098fbab10a3a1914bcb0fa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcsit.2013.5504"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Survey on data science with population-based algorithms

Shi Cheng, Bin Liu, T. O. Ting, Quande Qin, Yuhui Shi, Kaizhu Huang
<span title="2016-07-01">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/agmh2gzkhvashbstejvq4mfexi" style="color: black;">Big Data Analytics</a> </i> &nbsp;
Also, the weakness and strength of population-based algorithms could be analyzed via the data analytics along the optimization process, a crucial entity in population-based algorithms.  ...  We reviewed two categories of literature, which include population-based algorithms solving data analysis problem and utilizing data analysis methods in population-based algorithms.  ...  More desirable, in any single run, the quality of the solution returned by the method over iterations should improve monotonically -that is, the fitness of the solution at time t + 1 should be no worse  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s41044-016-0003-3">doi:10.1186/s41044-016-0003-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jvddmsjmivdejehqdwlkm2csca">fatcat:jvddmsjmivdejehqdwlkm2csca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171114195004/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/e70/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczQxMDQ0LTAxNi0wMDAzLTMucGRm.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/49/52/49522df4fab1ebbeb831fc265196c2c129bf6087.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s41044-016-0003-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Multiobjective evolutionary algorithms: A survey of the state of the art

Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ctqi4x5bbaczleobj2rvn7lxe" style="color: black;">Swarm and Evolutionary Computation</a> </i> &nbsp;
By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run.  ...  A multiobjective optimization problem involves several conflicting objectives and has a set of Pareto optimal solutions.  ...  Acknowledgements This work is partly supported by National Basic Research Program of China (No. 2011CB707104) and National Science Foundation of China (No. 61005050).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.swevo.2011.03.001">doi:10.1016/j.swevo.2011.03.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfcghitjp5ap5he4d3ackhhjsu">fatcat:jfcghitjp5ap5he4d3ackhhjsu</a> </span>
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Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification

Satchidananda Dehuri, Ashish Ghosh
<span title="2013-02-20">2013</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/agmngghlr5hyrpto64zks3fhry" style="color: black;">Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery</a> </i> &nbsp;
, reasoning with uncertainties, knowledge acquisition for expert systems, 53 data visualization, machine discovery, high-performance computing, evolutionary computation, multiobjective evolutionary computation  ...  Rule (a kind of high-level representation of knowledge) discovery from databases, posed as single and multiobjective problems is a difficult optimization problem.  ...  In the second step, they optimized the initial fuzzy classification systems so obtained in the above step.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/widm.1087">doi:10.1002/widm.1087</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j3evku467fbifgrkt5fpu5x4im">fatcat:j3evku467fbifgrkt5fpu5x4im</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808104041/http://www.isical.ac.in/~ash/satchi_Wires13.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/56/d1/56d18fc83cd3344acc582cfd3613101e73dc0f22.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/widm.1087"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

An Adaptive Multiobjective Approach to Evolving ART Architectures

A. Kaylani, M. Georgiopoulos, M. Mollaghasemi, G.C. Anagnostopoulos, C. Sentelle, Mingyu Zhong
<span title="">2010</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/22mhkeaq5zdqlmtti5oidj26fi" style="color: black;">IEEE Transactions on Neural Networks</a> </i> &nbsp;
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach.  ...  In particular, we propose the use of a multiobjective evolutionary approach to simultaneously evolve the weights and the topology of three well-known ART architectures; fuzzy ARTMAP (FAM), ellipsoidal  ...  the evolutionary multiobjective optimization of fuzzy-rule-based systems bibliography page by Cococcioni demonstrates. 1 The literature is also rich in contributions related to multiobjective optimization  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2009.2037813">doi:10.1109/tnn.2009.2037813</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20172827">pmid:20172827</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhrfo7xcnfeb3pcxhxwaezipum">fatcat:jhrfo7xcnfeb3pcxhxwaezipum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100710080610/http://phoenix.fit.edu/~georgio/pubs/Kaylani_tnn_2010.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/91/ce/91ce2e4e441dbf5332e2988267577b1080f802f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tnn.2009.2037813"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection

Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
<span title="">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u2ij72rn4fgcljv3o6um2aiwge" style="color: black;">BioMedical Engineering OnLine</a> </i> &nbsp;
In comparison with the baseline MRA approach used in previous studies, the proposed evolutionary multiobjective feature selection approaches provide similar or even better classification performances,  ...  Several wrapper approaches to evolutionary multiobjective feature selection are proposed with different structures of classifiers.  ...  Acknowledgements JO would like to thank the BCI Laboratory at the University of Essex for the support during his research stay in the summer 2014.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12938-016-0178-x">doi:10.1186/s12938-016-0178-x</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27454531">pmid:27454531</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4959369/">pmcid:PMC4959369</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ucb3uch3zbhkrgnyd5xz4oeciq">fatcat:ucb3uch3zbhkrgnyd5xz4oeciq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171017012721/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/a32/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEyOTM4LTAxNi0wMTc4LXgucGRm.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/a4/c6a453c905e7afae7eb984f0f3425098a20337ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12938-016-0178-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959369" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An artificial immune system-inspired multiobjective evolutionary algorithm with application to the detection of distributed computer network intrusions

Charles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fdhfwmjdwjbvxo6zc7cdt5hi7q" style="color: black;">Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO &#39;07</a> </i> &nbsp;
This distributed intrusion detection system (IDS) is intended to measure the vector of tradeoff solutions among detectors with regard to two independent objectives: best classification fitness and optimal  ...  In order to tighten this response cycle within storage constraints, this paper presents an innovative Artificial Immune System-inspired Multiobjective Evolutionary Algorithm.  ...  This MOEA provides a set of tradeoff solutions with regard to the measurement of two independent objectives seeking a global minimum: highest network traffic classification fitness and optimal detector  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1274000.1274035">doi:10.1145/1274000.1274035</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/gecco/HaagLWP07.html">dblp:conf/gecco/HaagLWP07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7styn3fnvbbahhptoxwzbog5iu">fatcat:7styn3fnvbbahhptoxwzbog5iu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808083233/http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p2717.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/d7/bf/d7bfdd8bf6b764e52197310b85972bd1e1dd3436.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1274000.1274035"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Configuration Methodology for Traffic-Responsive Plan Selection: A Global Perspective

Montasir Abbas, Nadeem Chaudhary, Geza Pesti, Anuj Sharma
<span title="">2005</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqcgi5znvbdlvjftqxogjlzgla" style="color: black;">Transportation Research Record</a> </i> &nbsp;
The materials and methods presented were developed as part of TxDOT Project 0-4421, A Simplified Approach for Selecting Optimal Traffic Responsive Control Parameters.  ...  The authors recognize the project director, Henry Wickes, for his support and guidance throughout the duration of this project.  ...  The multiobjective GA resulted in a selection of only 14 timing plans to handle all traffic states, with a reduction of 53% in delay and 16% in stops in comparison with the worst solution encountered during  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3141/1925-20">doi:10.3141/1925-20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/djw253vkqbedrb4uuhms435y5a">fatcat:djw253vkqbedrb4uuhms435y5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723184551/http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1018&amp;context=civilengfacpub" 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/c7/5e/c75e1916f430d0a04b620e72d64d4a6aba718490.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3141/1925-20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization

P.V.W. Radtke, T. Wong, R. Sabourin
<span title="">2006</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qm5nunzmyva4tfjekdcm34uvhq" style="color: black;">The 2006 IEEE International Joint Conference on Neural Network Proceedings</a> </i> &nbsp;
The optimization of classification systems is often confronted by the solution over-fit problem.  ...  This paper compares two validation strategies used to control the over-fit phenomenon in classifier optimization problems.  ...  OVER-FIT EFFECTS IN MULTI-OBJECTIVE OPTIMIZATION Solution over-fit also occurs when classification systems are optimized using evolutionary algorithms in a wrapper approach.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2006.247331">doi:10.1109/ijcnn.2006.247331</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcnn/RadtkeWS06.html">dblp:conf/ijcnn/RadtkeWS06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/smjtcqjwnjdgzfi2os5dqkd7uq">fatcat:smjtcqjwnjdgzfi2os5dqkd7uq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808201901/http://www.etsmtl.ca/ETS/media/ImagesETS/Labo/LIVIA/Publications/2006/radtke_ijcnn_2006.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/82/8e/828e2bf105fe8a1f3424f09f8320f5c1cbd2d06f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ijcnn.2006.247331"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions [chapter]

Charles R. Haag, Gary B. Lamont, Paul D. Williams, Gilbert L. Peterson
<span title="">2007</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;
This distributed intrusion detection system (IDS) is intended to measure the vector of tradeoff solutions among detectors with regard to two independent objectives: best classification fitness and optimal  ...  In order to tighten this response cycle within storage constraints, this paper presents an innovative Artificial Immune System-inspired Multiobjective Evolutionary Algorithm.  ...  This MOEA provides a set of tradeoff solutions with regard to the measurement of two independent objectives seeking a global minimum: highest network traffic classification fitness and optimal detector  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-73922-7_36">doi:10.1007/978-3-540-73922-7_36</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qxcyj5iebbgjxktb2hepiodd34">fatcat:qxcyj5iebbgjxktb2hepiodd34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808083233/http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p2717.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/d7/bf/d7bfdd8bf6b764e52197310b85972bd1e1dd3436.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-73922-7_36"> <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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