14.5.11 Genetic Algorithms, Genetic Programming

Figueiredo, M.A.T.[Mario A.T.],
Adaptive sparseness for supervised learning,
PAMI(25), No. 9, September 2003, pp. 1150-1159.
IEEE Abstract. 0309
Control the complexity of the learned function. Hierarchical-Bayes interpretation of the Laplacian prior, then modified. Expectation Maximation algorithm. BibRef

Figueiredo, M.A.T., Jain, A.K.,
Bayesian Learning of Sparse Classifiers,
CVPR01(I:35-41).
IEEE DOI 0110
BibRef

Liu, Y.G.[Yong-Guo], Chen, K.F.[Ke-Fei], Liao, X.F.[Xiao-Feng], Zhang, W.[Wei],
A genetic clustering method for intrusion detection,
PR(37), No. 5, May 2004, pp. 927-942.
Elsevier DOI 0405
BibRef

Sakano, H.[Hitoshi],
Query Learning Method for Character Recognition Methods Using Genetic Algorithm,
IEICE(E88-D), No. 10, October 2005, pp. 2313-2316.
DOI Link 0510
BibRef

Sakano, H., Kida, H., Mukawa, N.,
Seeing the Character Images That an OCR System Sees: Analysis by Genetic Algorithm,
ICPR96(IV: 411-416).
IEEE DOI 9608
(NTT Data Communications System, J) BibRef

Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Quadtree-based genetic algorithm and its applications to computer vision,
PR(37), No. 8, August 2004, pp. 1723-1733.
Elsevier DOI 0407
BibRef
Earlier:
Multi-resolution genetic algorithm and its application in motion estimation,
ICPR02(I: 644-647).
IEEE DOI 0211
BibRef

Chien, B.C.[Been-Chian], Lin, J.Y.[Jung-Yi], Yang, W.P.[Wei-Pang],
Learning effective classifiers with Z-value measure based on genetic programming,
PR(37), No. 10, October 2004, pp. 1957-1972.
Elsevier DOI 0409
BibRef

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang],
Synthesizing feature agents using evolutionary computation,
PRL(25), No. 13, 1 October 2004, pp. 1519-1531.
Elsevier DOI 0410
Genetic method to extract ROI from aerial images. BibRef

Lin, Y.Q.[Ying-Qiang], Bhanu, B.[Bir],
Object Detection via Feature Synthesis Using MDL-Based Genetic Programming,
SMC-B(35), No. 3, June 2005, pp. 538-547.
IEEE DOI 0508
BibRef

Teredesai, A.[Ankur], Govindaraju, V.[Venu],
GP-based secondary classifiers,
PR(38), No. 4, April 2005, pp. 505-512.
Elsevier DOI 0501
BibRef

Lee, C.S.[Chang-Shing], Guo, S.M.[Shu-Mei], Hsu, C.Y.[Chin-Yuan],
Genetic-based fuzzy image filter and its application to image processing,
SMC-B(35), No. 4, August 2005, pp. 694-711.
IEEE DOI 0508
BibRef

Schneider, G., Wersing, H., Sendhoff, B., Korner, E.,
Evolutionary Optimization of a Hierarchical Object Recognition Model,
SMC-B(35), No. 3, June 2005, pp. 426-437.
IEEE DOI 0508
BibRef

Krawiec, K., Bhanu, B.,
Visual Learning by Coevolutionary Feature Synthesis,
SMC-B(35), No. 3, June 2005, pp. 409-425.
IEEE DOI 0508
BibRef

Krawiec, K.[Krzysztof],
Genetic Programming with Local Improvement for Visual Learning from Examples,
CAIP01(209 ff.).
Springer DOI 0210
BibRef

Krawiec, K.[Krzysztof],
Generative learning of visual concepts using multiobjective genetic programming,
PRL(28), No. 16, December 2007, pp. 2385-2400.
Elsevier DOI 0711
Visual learning; Genetic programming; Generative pattern recognition; Evolutionary synthesis of pattern recognition systems BibRef

Yuen, S.Y.[Shiu Yin], Lam, H.S.[Hoi Shan], Fong, C.K.[Chun Ki], Chen, S.F.[Shi Feng], Chow, C.K.[Chi Kin],
A robust iterative hypothesis testing design of the repeated genetic algorithm,
IVC(23), No. 11, 1 October 2005, pp. 972-980.
Elsevier DOI 0510
BibRef

Zhu, F.M.[Fang-Ming], Guan, S.[Steven],
Ordered incremental training for GA-based classifiers,
PRL(26), No. 14, 15 October 2005, pp. 2135-2151.
Elsevier DOI 0510
BibRef

Muni, D.P., Pal, N.R., Das, J.,
Genetic Programming for Simultaneous Feature Selection and Classifier Design,
SMC-B(36), No. 1, February 2006, pp. 106-117.
IEEE DOI 0602
BibRef

Muni, D.P., Pal, N.R., Das, J.,
Texture Generation for Fashion Design Using Genetic Programming,
ICARCV06(1-5).
IEEE DOI 0612
BibRef

Moghadam, R.A.[Reza A.],
Analog Fault Detection And Classification Using Genetic Algorithm,
GVIP(05), No. V9, 2005, pp. xx-yy.
HTML Version. BibRef 0500

Olague, G.[Gustavo], Cagnoni, S.[Stefano], Lutton, E.[Evelyne],
Introduction to the special issue on evolutionary computer vision and image understanding,
PRL(27), No. 11, August 2006, pp. 1161-1163.
Elsevier DOI 0606
BibRef

Zhang, M.J.[Meng-Jie], Smart, W.[Will],
Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification,
PRL(27), No. 11, August 2006, pp. 1266-1274.
Elsevier DOI 0606
Object recognition; Object detection; Fitness function; Multiclass classification BibRef

Eklund, N.H.W., Embrechts, M.J., Goetschalckx, M.,
Efficient Chromosome Encoding and Problem-Specific Mutation Methods for the Flexible Bay Facility Layout Problem,
SMC-C(36), No. 4, July 2006, pp. 495-502.
IEEE DOI 0606
BibRef

Eklund, N.H.W.,
Using Genetic Algorithms to Estimate Confidence Intervals for Missing Spatial Data,
SMC-C(36), No. 4, July 2006, pp. 519-524.
IEEE DOI 0606
BibRef

Lin, J.Y.[Jung-Yi], Ke, H.R.[Hao-Ren], Chien, B.C.[Been-Chian], Yang, W.P.[Wei-Pang],
Designing a classifier by a layered multi-population genetic programming approach,
PR(40), No. 8, August 2007, pp. 2211-2225.
Elsevier DOI 0704
Classification; Evolutionary computation; Multi-population genetic programming BibRef

Tsang, C.H.[Chi-Ho], Kwong, S.[Sam], Wang, H.L.[Han-Li],
Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection,
PR(40), No. 9, September 2007, pp. 2373-2391.
Elsevier DOI 0705
Fuzzy classifier; Genetic algorithms; Multi-objective optimization; Feature selection; Intrusion detection BibRef

Tohka, J.[Jussi], Krestyannikov, E.[Evgeny], Dinov, I.D.[Ivo D.], Graham, A.M.[Allan MacKenzie], Shattuck, D.W.[David W.], Ruotsalainen, U.[Ulla], Toga, A.W.[Arthur W.],
Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging,
MedImg(26), No. 5, May 2007, pp. 696-711.
IEEE DOI 0705
BibRef

Marwala, T.[Tshilidzi],
Bayesian training of neural networks using genetic programming,
PRL(28), No. 12, 1 September 2007, pp. 1452-1458.
Elsevier DOI 0707
Bayesian framework; Evolutionary programming; Neural networks BibRef

Auwatanamongkol, S.[Surapong],
Inexact graph matching using a genetic algorithm for image recognition,
PRL(28), No. 12, 1 September 2007, pp. 1428-1437.
Elsevier DOI 0707
Genetic algorithm; Inexact graph matching; Image recognition and classification BibRef

Zhang, L.[Liang], Nandi, A.K.[Asoke K.],
Neutral offspring controlling operators in genetic programming,
PR(40), No. 10, October 2007, pp. 2696-2705.
Elsevier DOI 0707
Genetic programming; Neutral offspring; Code bloat; Parsimony pressure BibRef

Zhang, M., Gao, X., Lou, W.,
A New Crossover Operator in Genetic Programming for Object Classification,
SMC-B(37), No. 5, October 2007, pp. 1332-1343.
IEEE DOI 0711
BibRef

Leung, K., Cheong, F., Cheong, C.,
Generating Compact Classifier Systems Using a Simple Artificial Immune System,
SMC-B(37), No. 5, October 2007, pp. 1344-1356.
IEEE DOI 0711
BibRef

Rokach, L.[Lior],
Genetic algorithm-based feature set partitioning for classification problems,
PR(41), No. 5, May 2008, pp. 1693-1717.
Elsevier DOI 0711
Feature set-partitioning; Feature selection; Genetic algorithm; Ensemble learning BibRef

Das, S.[Swagatam], Abraham, A.[Ajith], Konar, A.[Amit],
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm,
PRL(29), No. 5, 1 April 2008, pp. 688-699.
Elsevier DOI 0802
Particle Swarm Optimization; Kernel; Clustering; Validity index; Genetic algorithm BibRef

Hruschka, E., Campello, R.J.G.B., Freitas, A.A., Ponce Leon, F., de Carvalho, A.C.,
A Survey of Evolutionary Algorithms for Clustering,
SMC-C(39), No. 2, March 2009, pp. 133-155.
IEEE DOI 0903
Survey, Evolutionary Clustering. BibRef

Khushaba, R.N.[Rami N.], Al-Jumaily, A.[Adel], Al-Ani, A.[Ahmed],
Evolutionary fuzzy discriminant analysis feature projection technique in myoelectric control,
PRL(30), No. 7, 1 May 2009, pp. 699-707.
Elsevier DOI 0904
BibRef
Earlier: A1, A3, A2:
Differential evolution based feature subset selection,
ICPR08(1-4).
IEEE DOI 0812
Fuzzy discriminant analysis; Differential evolution; Myoelectric control BibRef

Tseng, V.S.[Vincent S.], Chen, C.H.[Chun-Hao], Huang, P.C.[Pai-Chieh], Hong, T.P.[Tzung-Pei],
Cluster-based genetic segmentation of time series with DWT,
PRL(30), No. 13, 1 October 2009, pp. 1190-1197.
Elsevier DOI 0909
Genetic algorithm; Segmentation; Time series; Clustering; Discrete wavelet transformation BibRef

Sofianopoulos, S.[Sokratis], Tambouratzis, G.[George],
Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms,
PRL(31), No. 12, 1 September 2010, pp. 1672-1682.
Elsevier DOI 1008
Multi-objective optimisation; Genetic Algorithms; SPEA2; Machine Translation; Evaluation of translation quality; Evolutionary computation BibRef

Agapie, A., Agapie, M., Rudolph, G., Zbaganu, G.,
Convergence of Evolutionary Algorithms on the n-Dimensional Continuous Space,
Cyber(43), No. 5, 2013, pp. 1462-1472.
IEEE DOI 1309
Computational complexity Random optimization methods, genetic algorithms. BibRef

Wang, Z.H.[Zhi-Hao], Liu, P.[Peiyu], Ren, M.[Min], Yang, Y.Z.[Yu-Zhen], Tian, X.Y.[Xiao-Yan],
Improved Biogeography-Based Optimization Based on Affinity Propagation,
IJGI(5), No. 8, 2016, pp. 129.
DOI Link 1609
BibRef

Papa, J.P.[João Paulo], Rosa, G.H.[Gustavo Henrique], Papa, L.P.[Luciene Patrici],
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes,
PRL(100), No. 1, 2017, pp. 59-66.
Elsevier DOI 1712
Feature selection BibRef

Cano, A.[Alberto], Krawczyk, B.[Bartosz],
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams,
PR(87), 2019, pp. 248-268.
Elsevier DOI 1812
Machine learning, Data streams, Concept drift, Genetic programming, Rule-based classification, GPU, High-performance data mining BibRef

Gribel, D.[Daniel], Vidal, T.[Thibaut],
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering,
PR(88), 2019, pp. 569-583.
Elsevier DOI 1901
Clustering, Minimum sum-of-squares, Global optimization, Hybrid genetic algorithm, K-means, Unsupervised learning BibRef

Liu, M.F.[Mao-Fu], Guan, W.L.[Wei-Li], Yan, J.[Jie], Hu, H.J.[Hui-Jun],
Correlation identification in multimodal weibo via back propagation neural network with genetic algorithm,
JVCIR(60), 2019, pp. 312-318.
Elsevier DOI 1903
Multimodal weibo, Correlation classification model, Back propagation, Genetic algorithm, GA-BP BibRef

Tran, B.[Binh], Xue, B.[Bing], Zhang, M.J.[Meng-Jie],
Genetic programming for multiple-feature construction on high-dimensional classification,
PR(93), 2019, pp. 404-417.
Elsevier DOI 1906
Feature construction, Genetic programming, Classification, Class dependence, High-dimensional data BibRef

Lu, M.[Miao], Bi, Y.[Ying], Xue, B.[Bing], Hu, Q.[Qiong], Zhang, M.J.[Meng-Jie], Wei, Y.B.[Yan-Bing], Yang, P.[Peng], Wu, W.B.[Wen-Bin],
Genetic Programming for High-Level Feature Learning in Crop Classification,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ain, Q.U.[Qurrat Ul], Xue, B.[Bing], Al-Sahaf, H.[Harith], Zhang, M.J.[Meng-Jie],
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification,
IVCNZ19(1-6)
IEEE DOI 2004
cancer, feature extraction, genetic algorithms, image classification, image colour analysis, image texture, multitree GP method BibRef

Almasi, M.[Mehrdad], Saniee-Abadeh, M.[Mohammad],
CARs-Lands: An associative classifier for large-scale datasets,
PR(100), 2020, pp. 107128.
Elsevier DOI 2005
Classification association rules (CARs), Associative classifier, Big data, Large-scale datasets, Evolutionary algorithms BibRef

Batista, J.E.[João E.], Cabral, A.I.R.[Ana I. R.], Vasconcelos, M.J.P.[Maria J. P.], Vanneschi, L.[Leonardo], Silva, S.[Sara],
Improving Land Cover Classification Using Genetic Programming for Feature Construction,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Bi, Y.[Ying], Xue, B.[Bing], Zhang, M.J.[Meng-Jie],
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification,
Cyber(53), No. 2, February 2023, pp. 1118-1132.
IEEE DOI 2301
Training, Feature extraction, Computational efficiency, Evolutionary computation, Task analysis, Optimization, surrogate BibRef

Bi, Y.[Ying], Xue, B.[Bing], Zhang, M.J.[Meng-Jie],
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification,
Cyber(53), No. 5, May 2023, pp. 3007-3020.
IEEE DOI 2305
Task analysis, Representation learning, Optimization, Feature extraction, Training, Training data, Genetic programming, multitask learning BibRef

Ople, J.J.M.[Jose Jaena Mari], Huang, T.M.[Tai-Ming], Chiu, M.C.[Ming-Chih], Chen, Y.L.[Yi-Ling], Hua, K.L.[Kai-Lung],
Adjustable Model Compression Using Multiple Genetic Algorithm,
MultMed(25), 2023, pp. 1125-1132.
IEEE DOI 2305
Genetic algorithms, Generative adversarial networks, Image coding, Statistics, Sociology, Computational modeling, model compression BibRef

Hu, W.[Wei], Zhao, T.Z.[Tong-Zhou], Cheng, X.[Xinhao], Li, C.[Chen],
Improved Genetic-Ant Colony Fusion Algorithm,
ICRVC22(314-319)
IEEE DOI 2301
Diversity reception, Path planning, Genetic algorithms, improved genetic-ant colony fusion algorithm, adaptive, evolutionary degree BibRef

Luong, A.V.[Anh Vu], Nguyen, T.T.[Tien Thanh], Liew, A.W.C.[Alan Wee-Chung],
Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm,
DICTA21(1-8)
IEEE DOI 2201
Heuristic algorithms, Insects, Benchmark testing, Streaming media, Prediction algorithms, Search problems, Real-time systems, Genetic Algorithm BibRef

Ahlberg, C., Ortiz, M.L., Ekstrand, F., Ekstrom, M.,
Unbounded Sparse Census Transform Using Genetic Algorithm,
WACV19(1616-1625)
IEEE DOI 1904
genetic algorithms, image matching, radiometry, stereo image processing, transforms, stereo vision, Real-time systems BibRef

Chu, W.T.[Wei-Ta], Chu, H.A.[Hao-An],
A Genetic Programming Approach to Integrate Multilayer CNN Features for Image Classification,
MMMod19(I:640-651).
Springer DOI 1901
BibRef

Xu, K.[Kuan], Qiao, Y.[Yu],
Randomized Sampling-Based Fly Local Sensitive Hashing,
ICIP18(1293-1297)
IEEE DOI 1809
Biomimetic data-independent hashing method inspired by the mechanism of odor processing system in drosophila. Euclidean distance, Synapses, Neurons, Training, Gaussian distribution, Benchmark testing, randomized sampling BibRef

Xie, L.X.[Ling-Xi], Yuille, A.L.[Alan L.],
Genetic CNN,
ICCV17(1388-1397)
IEEE DOI 1802
encoding, genetic algorithms, image recognition, neural net architecture, search problems, Visualization BibRef

Chung, A.G., Shafiee, M.J., Fieguth, P.W., Wong, A.G.,
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis,
CEFR-LCV17(1220-1227)
IEEE DOI 1802
Adaptation models, Encoding, Environmental factors, Genetics, Network architecture, Neural networks BibRef

Shafiee, M.J., Barshan, E., Li, F., Chwyl, B., Karg, M., Scharfenberger, C., Wong, A.,
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks,
CEFR-LCV17(979-986)
IEEE DOI 1802
Encoding, Genetics, Neural networks, Probabilistic logic, Stress, Training BibRef

Alidousti, Z., Basiri, M.E.,
CGACLC: Improving genetic algorithm through clustering for designing of combinational logic circuits,
IPRIA17(44-49)
IEEE DOI 1712
combinational circuits, genetic algorithms, logic design, power consumption, transistor circuits, CGACLC, optimization BibRef

Kuri-Morales, A.[Angel],
Pattern Discovery in Mixed Data Bases,
MCPR18(178-188).
Springer DOI 1807
BibRef

Kuri-Morales, A.[Angel], Sagastuy-Breña, J.[Javier],
A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases,
MCPR17(13-21).
Springer DOI 1706
BibRef

Bi, Y.[Ying], Zhang, M.J.[Meng-Jie], Xue, B.[Bing],
An automatic region detection and processing approach in genetic programming for binary image classification,
IVCNZ17(1-6)
IEEE DOI 1902
evolutionary computation, feature extraction, genetic algorithms, image classification, feature extraction, image operators, Feature Construction BibRef

Lensen, A.[Andrew], Al-Sahaf, H.[Harith], Zhang, M.J.[Meng-Jie], Xue, B.[Bing],
A hybrid Genetic Programming approach to feature detection and image classification,
ICVNZ15(1-6)
IEEE DOI 1701
feature extraction BibRef

Al-Sahaf, H., Zhang, M.J.[Meng-Jie], Johnston, M.,
Binary image classification using genetic programming based on local binary patterns,
IVCNZ13(220-225)
IEEE DOI 1402
computer vision BibRef

Bhowan, U., Zhang, M.J.[Meng-Jie], Johnston, M.,
Genetic programming for image classification with unbalanced data,
IVCNZ09(316-321).
IEEE DOI 0911
BibRef

Zhang, M.J.[Meng-Jie], Fogelberg, C.G.[Christopher Graeme],
Genetic Programming for Image Recognition: An LGP Approach,
EvoIASP07(340-350).
Springer DOI 0704
BibRef

Downey, C., Zhang, M.J.[Meng-Jie],
Multiclass object classification for computer vision using Linear Genetic Programming,
IVCNZ09(73-78).
IEEE DOI 0911
BibRef

Yasmin, S.[Shagufta], Sangwine, S.J.[Stephen J.],
Quaternion Linear Color Edge-Glowing Filter Using Genetic Algorithm,
ACIVS16(616-625).
Springer DOI 1611
BibRef

Ribeiro, Y.H.[Yuri H.], do Patrocínio, Jr., Z.K.G.[Zenilton K.G.], Guimarães, S.J.F.[Silvio Jamil F.],
Kernel Combination Through Genetic Programming for Image Classification,
CIARP15(314-321).
Springer DOI 1511
BibRef

Almutairi, L.M., Shetty, S., Momm, H.G.,
Scalable Evolutionary Computation for Efficient Information Extraction from Remote Sensed Imagery,
LandImaging14(27-34).
DOI Link 1411
BibRef

Gao, P., Shetty, S., Momm, H.G.,
Exploration of Genetic Programming Optimal Parameters for Feature Extraction from Remote Sensed Imagery,
LandImaging14(113-120).
DOI Link 1411
BibRef

Coello-Coello, C.A.[Carlos A.],
An Introduction to Evolutionary Multi-objective Optimization with Some Applications in Pattern Recognition,
CIARP14(1-13).
Springer DOI 1411
BibRef

Contreras-Cruz, M.A.[Marco A.], Ayala-Ramirez, V.[Victor], Alvarado-Velazco, P.B.[Paola B.],
On the Use of Evolutionary Programming for Combinational Logic Circuits Design,
CIARP14(191-198).
Springer DOI 1411
BibRef

Civicioglu, P., Atasever, U.H., Ozkan, C., Besdok, E., Karkinli, A.E., Kesikoglu, A.,
Performance Comparison Of Evolutionary Algorithms For Image Clustering,
Thematic14(71-74).
DOI Link 1404
BibRef

Acosta-Mendoza, N.[Niusvel], Gago-Alonso, A.[Andrés], Carrasco-Ochoa, J.A.[Jesús Ariel],
Feature Space Reduction for Graph-Based Image Classification,
CIARP13(I:246-253).
Springer DOI 1311
BibRef

Escalante, H.J.[Hugo Jair], Acosta-Mendoza, N.[Niusvel], Morales-Reyes, A.[Alicia], Gago-Alonso, A.[Andrés],
Genetic Programming of Heterogeneous Ensembles for Classification,
CIARP13(I:9-16).
Springer DOI 1311
BibRef

Escalante, H.J.[Hugo Jair], Mendoza, K.[Karlo], Graff, M.[Mario], Morales-Reyes, A.[Alicia],
Genetic Programming of Prototypes for Pattern Classification,
IbPRIA13(100-107).
Springer DOI 1307
BibRef

Sun, G.[Genyun], Zhang, A.[Aizhu],
A Hybrid Genetic Algorithm and Gravitational Search Algorithm for Image Segmentation Using Multilevel Thresholding,
IbPRIA13(707-714).
Springer DOI 1307
BibRef

Wang, Y.[Yong], Lu, C.[Chuang], Zhang, X.Z.[Xin-Zheng],
An improved FSOA based on stochastic search,
ICARCV12(1601-1604).
IEEE DOI 1304
BibRef

Clemente, E.[Eddie], Olague, G.[Gustavo], Dozal, L.[León], Mancilla, M.[Martín],
Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming,
EvoIASP12(315-325).
Springer DOI 1204
BibRef

Dabhi, V.K.[Vipul K.], Vij, S.K.[Sanjay K.],
Empirical modeling using symbolic regression via postfix Genetic Programming,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Garlapati, V.K.[Vijay Kumar], Vundavilli, P.R.[Pandu Ranga], Banerjee, R.[Rintu],
Integration of RSM model for optimization of immobilized lipase mediated solvent-free synthesis of flavour ester by genetic algorithm,
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Wang, J.F.[Jing-Fang],
Non-linear pattern recognition based on SVM and genetic algorithm,
IASP11(694-698).
IEEE DOI 1112
BibRef

Chang, D.X.[Dong-Xia], Zhao, Y.[Yao],
A Dynamic Niching Quantum Genetic Algorithm for Automatic Evolution of Clusters,
CAIP11(II: 308-315).
Springer DOI 1109
BibRef

Atmosukarto, I.[Indriyati], Shapiro, L.G.[Linda G.], Heike, C.[Carrie],
The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications,
ICPR10(2444-2447).
IEEE DOI 1008
BibRef

Ben Soltana, W.[Wael], Ardabilian, M.[Mohsen], Chen, L.M.[Li-Ming], Amar, C.B.[Chokri Ben],
Adaptive Feature and Score Level Fusion Strategy Using Genetic Algorithms,
ICPR10(4316-4319).
IEEE DOI 1008
BibRef

Plasencia Calana, Y.[Yenisel], Garcia Reyes, E.[Edel], Orozco Alzate, M.[Mauricio], Duin, R.P.W.[Robert P.W.],
Prototype Selection for Dissimilarity Representation by a Genetic Algorithm,
ICPR10(177-180).
IEEE DOI 1008
BibRef

Takamura, S.[Seishi], Matsumura, M.[Masaaki], Yashima, Y.[Yoshiyuki],
A study on an evolutionary pixel predictor and its properties,
ICIP09(1921-1924).
IEEE DOI 0911
Genetic programming approach. BibRef

Boukhobza, A., Bounoua, A., Ahmed, A.T.[A. Taleb], Taleb, N.,
A filter banks design using a multiobjecive genetic algorithm for an image coding scheme,
ICIP09(1933-1936).
IEEE DOI 0911
BibRef

Zhang, L.P.[Li-Ping], Yao, M.[Min], Zheng, N.G.[Neng-Gan],
Optimization and improvement of Genetic Algorithms solving Traveling Salesman Problem,
IASP09(327-332).
IEEE DOI 0904
BibRef

Perez, C.B.[Cynthia B.], Olague, G.[Gustavo],
Evolving Local Descriptor Operators through Genetic Programming,
EvoIASP09(414-419).
Springer DOI 0904
BibRef

Prodhon, C.[Caroline], Macías, D.[Demetrio], Yalaoui, F.[Farouk], Vial, A.[Alexandre], Amodeo, L.[Lionel],
Evolutionary Optimization for Plasmon-Assisted Lithography,
EvoIASP09(420-425).
Springer DOI 0904
BibRef

Puente, C.[Cesar], Olague, G.[Gustavo], Smith, S.V.[Stephen V.], Bullock, S.H.[Stephen H.], González-Botello, M.A.[Miguel A.], Hinojosa-Corona, A.[Alejandro],
A Novel GP Approach to Synthesize Vegetation Indices for Soil Erosion Assessment,
EvoIASP09(375-384).
Springer DOI 0904
BibRef

Perez, C.B.[Cynthia B.], Olague, G.[Gustavo],
Learning invariant region descriptor operators with genetic programming and the F-measure,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kadar, I.[Ilan], Ben-Shahar, O.[Ohad], Sipper, M.[Moshe],
Evolving boundary detectors for natural images via Genetic Programming,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Masada, K.[Kazuyuki], Chen, Q.[Qian], Wu, H.Y.[Hai-Yuan], Wada, T.[Toshikazu],
GA based feature generation for training cascade object detector,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And: A2, A1, A3, A4:
Training high dimension ternary features with GA in boosting cascade detector for object detection,
FG08(1-6).
IEEE DOI 0809
BibRef

Oechsle, O.[Olly], Clark, A.F.[Adrian F.],
Feature Extraction and Classification by Genetic Programming,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Patvardhan, C., Narayan, A.[Apurva], Srivastav, A.,
Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems,
PReMI07(252-260).
Springer DOI 0712
BibRef

Bhattacharyya, B., Goswami, S.K.,
A Decomposition Approach for Combined Heuristic and Differential Evolution Method for the Reactive Power Problem,
PReMI07(261-268).
Springer DOI 0712
BibRef

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A GA-Based Pruning Strategy and Weight Update Algorithm for Efficient Nonlinear System Identification,
PReMI07(244-251).
Springer DOI 0712
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Shirakawa, S.[Shinichi], Nakayama, S.[Shiro], Nagao, T.[Tomoharu],
Genetic Image Network for Image Classification,
EvoIASP09(395-404).
Springer DOI 0904
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Shirakawa, S.[Shinichi], Nagao, T.[Tomoharu],
Feed Forward Genetic Image Network: Toward Efficient Automatic Construction of Image Processing Algorithm,
ISVC07(II: 287-297).
Springer DOI 0711
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Arredondo, V.T.[V. Tomás], Vásquez, M.F.[M. Félix], Candel, C.D.[C. Diego], Dombrovskaia, L.[Lioubov], Agulló, L.[Loreine], Córdova, H.M.[H. Macarena], Latorre-Reyes, V.[Valeria], Calderón, B.F.[B. Felipe], Seeger, P.M.[P. Michael],
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems,
CIARP07(957-966).
Springer DOI 0711
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Aurnhammer, M.[Melanie],
Evolving Texture Features by Genetic Programming,
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Springer DOI 0704
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Saraç, T.[Tugba], Sipahioglu, A.[Aydin],
A Genetic Algorithm for the Quadratic Multiple Knapsack Problem,
BVAI07(490-498).
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Li, J.F.[Jun-Feng], Dai, W.Z.[Wen-Zhan],
Multi-objective Decision Algorithm Based on Adaptive Genetic Algorithm and Grey Relation Degree,
ICARCV06(1-5).
IEEE DOI 0612
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Orozco-Monteagudo, M., Taboada-Crispí, A., del Toro-Almenares, A.,
Training of Multilayer Perceptron Neural Networks by Using Cellular Genetic Algorithms,
CIARP06(389-398).
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Ma, X.L.[Xiu-Li], Jiao, L.C.[Li-Cheng],
Reconstruction of Order Parameters Based on Immunity Clonal Strategy for Image Classification,
ICIAR04(I: 455-462).
Springer DOI 0409
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Finizio, I., Mazzariello, C., Sansone, C.,
Combining Genetic-Based Misuse and Anomaly Detection for Reliably Detecting Intrusions in Computer Networks,
CIAP05(66-74).
Springer DOI 0509
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Cheung, K.S., Yuen, S.Y.[Shiu Yin], Fong, C.K.[Chun Ki],
Enhancement in performance of genetic algorithm for object location problem,
ICARCV04(I: 692-697).
IEEE DOI 0412
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Tremblay, G., Sabourin, R., Maupin, P.,
Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm,
ICPR04(I: 208-211).
IEEE DOI 0409
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Ray, S.S., Bandyopadhyay, S., Pal, S.K.,
New operators of genetic algorithms for traveling salesman problem,
ICPR04(II: 497-500).
IEEE DOI 0409
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Toyama, F., Fujiki, Y., Shoji, K., Miyamichi, J.,
Assembly of puzzles using a genetic algorithm,
ICPR02(IV: 389-392).
IEEE DOI 0211
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Yuen, S.Y.[Shiu Yin], Lam, H.S.[Hoi Shan], Fong, C.K.[Chun Ki],
A Novel Robust Statistical Design of the Repeated Genetic Algorithm,
CAIP01(668 ff.).
Springer DOI 0210
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lo Bosco, G.,
A genetic algorithm for image segmentation,
CIAP01(262-266).
IEEE DOI 0210
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Tohka, J.,
Global optimization of deformable surface meshes based on genetic algorithms,
CIAP01(459-464).
IEEE DOI 0210
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Nasri, M., El Hitmy, M.,
Algorithme Génétique et Critère de la Trace pour l'Optimisation du Vecteur Attribut: Application à la Classification Supervisée des Images de Textures,
VI02(407).
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Vetault, S., Loonis, P., Demko, C.,
Genetic Tasks Planning in Image Processing: Towards a Minimization of Prior Information,
SCIA99(Pattern Recognition). BibRef 9900

Qian, Y.T.[Yun-Tao],
Image Interpretation with Fuzzy-Graph Based Genetic Algorithm,
ICIP99(I:545-549).
IEEE DOI BibRef 9900

Kivijarvi, J., Lehtinen, J.[Joonas], Nevalainen, O.S.,
Clustering by a parallel self-adaptive genetic algorithm,
ConferenceNovember 18-22, 2002, 4th Asia-Pacific Conference on Simulated Evolution and Learning, Singapore.
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Hussein, F., Kharma, N., Ward, R.,
Genetic algorithms for feature selection and weighting, a review and study,
ICDAR01(1240-1244).
IEEE DOI 0109
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Saitoh, F.[Fumihiko],
Boundary Extraction of Brightness Unevenness on LCD Display using genetic Algorithm based on Perceptive Grouping Factors,
ICIP99(II:308-312).
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Saitoh, F.,
Curve Extraction Using Genetic Algorithm Based on Closeness and Continuity in Perceptive Grouping Factors,
MVA98(xx-yy). BibRef 9800

Balasubramaniam, K.[Karthik], Beveridge, J.R.[J. Ross], Lesher, C.E.[Christopher E.], Graves, C.R.[Christopher R.],
Horizon Line Matching for Orientation Correction Using a Messy Genetic Algorithm,
DARPA97(275-284). BibRef 9700

Aherne, F.J.[Frank J.], Rockett, P.I.[Peter I.], Thacker, N.A.[Neil A.],
Automatic parameter selection for object recognition using a parallel multiobjective genetic algorithm,
CAIP97(559-566).
Springer DOI 9709
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Dutta, P., Dutta Majumder, D.,
Performance Comparison of Two Evolutionary Schemes,
ICPR96(IV: 659-663).
IEEE DOI 9608
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Johnson, M.,
Automated Creation of Visual Routines Using Genetic Programming,
ICPR96(I: 951-956).
IEEE DOI 9608
(MIT Media Lab, USA) BibRef

Saito, H., Mori, M.,
Object Modeling from Multiple Images Using Genetic Algorithms,
ICPR96(IV: 669-673).
IEEE DOI 9608
(Keio Univ., J) BibRef

Wang, Y.K., Fan, K.,
Applying Genetic Algorithms on Pattern Recognition: An Analysis and Survey,
ICPR96(II: 740-744).
IEEE DOI 9608
(Academia Sinica, ROC) BibRef

Chen, Y.W.[Yen-Wei], Nakao, Z., Arakaki, K., Nakamura, I., Tamura, S.,
Reconstruction of Neutron Penumbral Image by a Constrained Genetic Algorithm,
ICPR96(IV: 525-529).
IEEE DOI 9608
(Univ. of the Ryukyus, J) BibRef

Wang, Y., Funakubo, N.,
Detection of Geometric Shapes by the Combination of Genetic Algorithm and Subpixel Accuracy,
ICPR96(IV: 535-539).
IEEE DOI 9608
(Tokyo Metropolitan Institute, J) BibRef

Bala, J.W., Wechsler, H., Vafaie, H., Huang, J., de Jong, K.,
Visual Routine for Eye Detection Using Hybrid Genetic Architectures,
ICPR96(III: 606-610).
IEEE DOI 9608
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Liedtke, C.E., Schnier, T., Bloemer, A.,
Automated learning of rules using genetic operators,
CAIP93(327-334).
Springer DOI 9309
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