Frontiers in Nature-Inspired Industrial Optimization / edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel
Material type:
E-bookSeries: (Springer Tracts in Nature-Inspired Computing, 2524-5538).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XII, 235 páginas) : 94 ilustraciones, 76 ilustraciones a color.ISBN: 9789811631283.Subject: Optimización matemática
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | T57.7 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012344 |
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| T57.62 2022 EB A Practical Guide for Simulation and FPGA Implementation of Digital Design | T57.62 S366 2017 EB Multiscale simulation approach for battery production systems | T57.67 2022 EB Process Querying Methods | T57.7 2022 EB Frontiers in Nature-Inspired Industrial Optimization | T57.74 2022 EB Integer Programming and Combinatorial Optimization : 23rd International Conference, IPCO 2022, Eindhoven, The Netherlands, June 27-29, 2022, Proceedings | T57.74 2023 EB Linear Programming Computation | T57.74 H883 2016 EB Linear and Integer Programming Made Easy |
Association Rules Over Time -- A Study of Crossover Operators in Genetic Algorithms -- Memetic Strategies for Network Design Problems -- A Coronavirus Optimization Algorithm for Solving The Container Retrieval Problem -- Optimum Outlier Detection in Internet of Things Industries Using Autoencoder -- Particle Swarm Optimization Advances in Internet of Things Industry -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Multi Objective Optimization and Decision Making for Net Zero Energy Smart House -- Using Fuzzy Approach In Determining Critical Parameters for Optimum Safety Functions In Mega Projects (Case Study: Iran's Construction Industry) -- Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran's Construction Industry) -- Evolutionary Machine Learning Powered by Genetics Algorithm for Iot-Specific Health Monitoring of Agriculture Vehicles.
The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field. .
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