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Autor Zamuda, Aleš |
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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing / Zamuda, Aleš ; Das, Swagatam ; Suganthan, Ponnuthurai Nagaratnam ; Panigrahi, Bijaya Ketan
TÃtulo : Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing : 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10–12, 2019, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Zamuda, AleÅ¡, ; Das, Swagatam, ; Suganthan, Ponnuthurai Nagaratnam, ; Panigrahi, Bijaya Ketan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: X, 213 p. 82 ilustraciones, 34 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-37838-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Análisis numérico Red de computadoras IngenierÃa Informática TeorÃa de la Computación Redes de comunicación informática IngenierÃa Informática y Redes Clasificación: 40.151 Resumen: Este volumen constituye las actas posteriores a la conferencia, exhaustivamente arbitradas, de la 7.ª Conferencia Internacional sobre Computación en Enjambre, Evolutiva y Memética, SEMCCO 2019, y la 5.ª Conferencia Internacional sobre Computación Difusa y Neural, FANCCO 2019, celebradas en Maribor, Eslovenia, en julio de 2019. Los 18 artÃculos completos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 31 presentaciones para su inclusión en las actas. Los artÃculos cubren una amplia gama de temas sobre algoritmos informáticos de enjambre, evolutivos, meméticos y otros algoritmos informáticos inteligentes y sus aplicaciones en el mundo real en problemas seleccionados de diversos dominios de la ciencia y la ingenierÃa. Nota de contenido: Cooperative Model of Evolutionary Algorithms and Real-World Problems -- Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge -- Population Size in Differential Evolution -- Channel Assignment with Ant Colony Optimization -- Self-organizing migrating algorithm with non-binary perturbation -- Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC'17 Benchmark -- MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives -- Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling -- Classiï¬cation of Stock Market Trends with Conï¬dence-based Selective Predictions -- A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil -- Competition of Strategies in jSO Algorithm -- Neural swarm virus -- Wrapper-based feature selection using Self-adaptive Differential Evolution -- SOMA T3A forSolving the 100-Digit Challenge -- Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots -- Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes -- Virtual Measurement of the Backlash Gap in Industrial Manipulators -- Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. Tipo de medio : Computadora Summary : This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing : 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10–12, 2019, Revised Selected Papers / [documento electrónico] / Zamuda, AleÅ¡, ; Das, Swagatam, ; Suganthan, Ponnuthurai Nagaratnam, ; Panigrahi, Bijaya Ketan, . - 1 ed. . - [s.l.] : Springer, 2020 . - X, 213 p. 82 ilustraciones, 34 ilustraciones en color.
ISBN : 978-3-030-37838-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Análisis numérico Red de computadoras IngenierÃa Informática TeorÃa de la Computación Redes de comunicación informática IngenierÃa Informática y Redes Clasificación: 40.151 Resumen: Este volumen constituye las actas posteriores a la conferencia, exhaustivamente arbitradas, de la 7.ª Conferencia Internacional sobre Computación en Enjambre, Evolutiva y Memética, SEMCCO 2019, y la 5.ª Conferencia Internacional sobre Computación Difusa y Neural, FANCCO 2019, celebradas en Maribor, Eslovenia, en julio de 2019. Los 18 artÃculos completos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 31 presentaciones para su inclusión en las actas. Los artÃculos cubren una amplia gama de temas sobre algoritmos informáticos de enjambre, evolutivos, meméticos y otros algoritmos informáticos inteligentes y sus aplicaciones en el mundo real en problemas seleccionados de diversos dominios de la ciencia y la ingenierÃa. Nota de contenido: Cooperative Model of Evolutionary Algorithms and Real-World Problems -- Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge -- Population Size in Differential Evolution -- Channel Assignment with Ant Colony Optimization -- Self-organizing migrating algorithm with non-binary perturbation -- Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC'17 Benchmark -- MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives -- Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling -- Classiï¬cation of Stock Market Trends with Conï¬dence-based Selective Predictions -- A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil -- Competition of Strategies in jSO Algorithm -- Neural swarm virus -- Wrapper-based feature selection using Self-adaptive Differential Evolution -- SOMA T3A forSolving the 100-Digit Challenge -- Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots -- Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes -- Virtual Measurement of the Backlash Gap in Industrial Manipulators -- Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. Tipo de medio : Computadora Summary : This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]