Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/33617
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dc.contributor.authorLara, Adriana-
dc.contributor.authorQuiroz, Marcela-
dc.contributor.authorMezura-Montes, Efrén-
dc.contributor.authorSchütze (Eds.), Oliver-
dc.date.accessioned2021-08-18T10:39:58Z-
dc.date.available2021-08-18T10:39:58Z-
dc.date.issued2019-
dc.identifier.issn978-3-03921-816-5-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/33617-
dc.descriptionx, 217 p. ; 26,7 Mb ; https://doi.org/10.3390/books978-3-03921-817-2 ; CC BY-NC-NDvi
dc.description.abstractThis book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.vi
dc.description.tableofcontents"About the Special Issue Editors ..................................... vii Preface to ”Numerical and Evolutionary Optimization 2018” .................... ix Raknoi Akararungruangkul and Sasitorn Kaewman Modified Differential Evolution Algorithm Solving the Special Case of Location Routing Problem Reprinted from: Math. Comput. Appl. 2018, 23, 34, doi:10.3390/mca23030034 ............ 1 Udompong Ketsripongsa, Rapeepan Pitakaso, Kanchana Sethanan and Tassin Srivarapongse An Improved Differential Evolution Algorithm for Crop Planning in the Northeastern Region of Thailand Reprinted from: Math. Comput. Appl. 2018, 23, 40, doi:10.3390/mca23030040 ............ 17 Poontana Sresracoo, Nuchsara Kriengkorakot, Preecha Kriengkorakot and Krit Chantarasamai U-Shaped Assembly Line Balancing by Using Differential Evolution Algorithm Reprinted from: Math. Comput. Appl. 2018, 23, 79, doi:10.3390/mca23040079 ............ 36 Prasert Sriboonchandr, Nuchsara Kriengkorakot and Preecha Kriengkorakot Improved Differential Evolution Algorithm for Flexible Job Shop Scheduling Problems Reprinted from: Math. Comput. Appl. 2019, 24, 80, doi:10.3390/mca24030080 ............ 57 Perla Ju´arez-Smith, Leonardo Trujillo, Mario Garc´ıa-Valdez, Francisco Fern ´andez de Vega and Francisco Ch ´avez Pool-Based Genetic Programming Using Evospace, Local Search and Bloat Control Reprinted from: Math. Comput. Appl. 2019, 24, 78, doi:10.3390/mca24030078 ............ 76 Roberto L ´opez, Luis Carlos Gonz ´alez Gurrola, Leonardo Trujillo, Olanda Prieto, Graciela Ram´ırez, Antonio Posada, Perla Ju´arez-Smith and Leticia M´endez How Am I Driving? Using Genetic Programming to Generate Scoring Functions for Urban Driving Behavior Reprinted from: Math. Comput. Appl. 2018, 23, 19, doi:10.3390/mca23020019 ............ 89 Wanida Limmun, Boonorm Chomtee and John J. Borkowski The Construction of a Model-Robust IV-Optimal Mixture Designs Using a Genetic Algorithm Reprinted from: Math. Comput. Appl. 2018, 23, 25, doi:10.3390/mca23020025 ............ 102 Joel Guerrero, Alberto Cominetti, Jan Pralits and Diego Villa Surrogate-Based Optimization Using an Open-Source Framework: The Bulbous Bow Shape Optimization Case Reprinted from: Math. Comput. Appl. 2018, 23, 60, doi:10.3390/mca23040060 ............ 115 Sebastian Peitz and Michael Dellnitz A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction Reprinted from: Math. Comput. Appl. 2018, 23, 30, doi:10.3390/mca23020030 ............ 140 Johan M. Bogoya, Andr´es Vargas, Oliver Cuate, and Oliver Sch ¨utze A (p, q)-Averaged Hausdorff Distance for Arbitrary Measurable Sets Reprinted from: Math. Comput. Appl. 2018, 23, 51, doi:10.3390/mca23030051 ............ 173 v Oliver Cuate and Oliver Schutze ¨ Variation Rate to Maintain Diversity in Decision Space within Multi-Objective Evolutionary Algorithms Reprinted from: Math. Comput. Appl. 2019, 24, 82, doi:10.3390/mca24030082 ............ 197"vi
dc.language.isoenvi
dc.publisherMDPIvi
dc.subjecttraditional numerical optimization techniquesvi
dc.subjectcomparatively recent bio-inspired heuristics,vi
dc.titleNumerical and Evolutionary Optimizationvi
dc.typeBookvi
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SA11445_1. Numerical and Evolutionary Optimization - Cover.pdf
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Cover722.63 kBAdobe PDFXem/Tải về  Yêu cầu tài liệu
SA11445_2. Numerical and Evolutionary Optimization - Copỷight.pdf
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index520.56 kBAdobe PDFXem/Tải về  Yêu cầu tài liệu
SA11445_4. Numerical and Evolutionary Optimization - About the Special Issue Editors.pdf
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