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Advanced Engineering Optimization Through Intelligent Techniques : Select Proceedings of AEOTIT 2018 / edited by R. Venkata Rao, Jan Taler

Contributor(s): Venkata Rao, R, editor | Taler, Jan, editor
Material type: materialTypeLabelE-bookSeries: (Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore, 2020Edition: First edition.Description: 1 recurso en línea (XVIII, 861 páginas) : 349 ilustraciones, 239 ilustraciones a color.ISBN: 9789811381966.Subject: Inteligencia artificial -- Aplicaciones industriales | Ingeniería -- Proceso de datos | Optimización matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Applications of Advanced Optimization Techniques in Computer Science and Engineering -- 2. Applications of Advanced Optimization Techniques in Electrical Engineering -- 3. Applications of Advanced Optimization Techniques in Civil and Structural Engineering -- 4. Applications of Advanced Optimization Techniques in Mechanical Engineering -- 5. Applications of Advanced Optimization Techniques in Industrial and Manufacturing Engineering -- 6. Applications of Advanced Optimization Techniques in Electronics Engineering -- 7. Applications of Advanced Optimization Techniques in Chemical Engineering -- 8. Applications of Advanced Optimization Techniques in Biotechnology -- 9. Applications of Advanced Optimization Techniques in Interdisciplinary Fields.
Abstract: This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TA347 .A78 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook10012069
Total holds: 0

1. Applications of Advanced Optimization Techniques in Computer Science and Engineering -- 2. Applications of Advanced Optimization Techniques in Electrical Engineering -- 3. Applications of Advanced Optimization Techniques in Civil and Structural Engineering -- 4. Applications of Advanced Optimization Techniques in Mechanical Engineering -- 5. Applications of Advanced Optimization Techniques in Industrial and Manufacturing Engineering -- 6. Applications of Advanced Optimization Techniques in Electronics Engineering -- 7. Applications of Advanced Optimization Techniques in Chemical Engineering -- 8. Applications of Advanced Optimization Techniques in Biotechnology -- 9. Applications of Advanced Optimization Techniques in Interdisciplinary Fields.

This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. .

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