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Book
Numerical and Evolutionary Optimization
Authors: --- --- ---
ISBN: 3039218174 3039218166 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This 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.


Book
Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.


Book
Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.


Book
Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.

Keywords

Technology: general issues --- History of engineering & technology --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys


Book
Green Technologies for Production Processes
Authors: --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book focuses on original research works about Green Technologies for Production Processes, including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. This book includes 22 research papers and involves energy-saving and waste reduction in production processes, design and manufacturing of green products, low carbon manufacturing and remanufacturing, management and policy for sustainable production, technologies of mitigating CO2 emissions, and other green technologies.

Keywords

Technology: general issues --- electric power substitution --- potential forecasting --- CSO-ELM --- green sustainable development --- BFIMP --- all-factors analysis approach --- material flows --- energy flows --- operation parameters --- biomass resource --- power plant --- GHG emission mitigation --- Anhui --- emission reduction --- green production --- waste disposal --- co-incineration --- rotary kiln --- remanufacturing --- sustainability supply chain --- authorized remanufacturing --- game --- production process --- efficiency evaluation --- greenhouse vegetables --- data envelopment analysis --- sustainability --- micro energy grid --- distributed energy --- uncertainty --- risk aversion --- demand response --- grinding optimization --- low carbon --- low cost --- improved NSGA-II --- fuzzy matter element --- PV-storage charging stations --- green energy --- planning process --- bi-level optimization --- user utility --- energy-economizing --- hot stamping --- lightweight material --- magnesium alloy --- process parameters --- fluid-solid coupling --- coal containing gas --- permeability --- energy safety --- intelligent systems --- motor production lines --- process management --- sustainable process --- efficiency --- sustainability strategy --- scale development --- sustainable supply chain management --- implementation framework --- reverse logistics --- supplier selection --- MCDM --- multiprocess route --- workshop scheduling --- multi-objective optimization --- logistics intensity --- emergy --- logistics parks --- Halon candidate substitute --- aircraft weight reduction --- HFC-125 --- release pressure --- flow --- diffusion --- flexible job shop scheduling problem --- genetic algorithm --- multi-crossover operator --- co-evolution --- green synthesis --- multi-branched gold nanoparticles --- ultrasound --- hydroquinone --- chitosan --- renewable energy --- renewable portfolio standard --- nearby accommodation --- peak regulation --- prospect analysis --- multicriteria decision-making --- circular economy --- collection modes --- Chinese automobile manufacturing industry --- corporate environmental responsibility --- fuzzy DEMATEL --- triple bottom line --- sustainable development --- green manufacturing --- electric power substitution --- potential forecasting --- CSO-ELM --- green sustainable development --- BFIMP --- all-factors analysis approach --- material flows --- energy flows --- operation parameters --- biomass resource --- power plant --- GHG emission mitigation --- Anhui --- emission reduction --- green production --- waste disposal --- co-incineration --- rotary kiln --- remanufacturing --- sustainability supply chain --- authorized remanufacturing --- game --- production process --- efficiency evaluation --- greenhouse vegetables --- data envelopment analysis --- sustainability --- micro energy grid --- distributed energy --- uncertainty --- risk aversion --- demand response --- grinding optimization --- low carbon --- low cost --- improved NSGA-II --- fuzzy matter element --- PV-storage charging stations --- green energy --- planning process --- bi-level optimization --- user utility --- energy-economizing --- hot stamping --- lightweight material --- magnesium alloy --- process parameters --- fluid-solid coupling --- coal containing gas --- permeability --- energy safety --- intelligent systems --- motor production lines --- process management --- sustainable process --- efficiency --- sustainability strategy --- scale development --- sustainable supply chain management --- implementation framework --- reverse logistics --- supplier selection --- MCDM --- multiprocess route --- workshop scheduling --- multi-objective optimization --- logistics intensity --- emergy --- logistics parks --- Halon candidate substitute --- aircraft weight reduction --- HFC-125 --- release pressure --- flow --- diffusion --- flexible job shop scheduling problem --- genetic algorithm --- multi-crossover operator --- co-evolution --- green synthesis --- multi-branched gold nanoparticles --- ultrasound --- hydroquinone --- chitosan --- renewable energy --- renewable portfolio standard --- nearby accommodation --- peak regulation --- prospect analysis --- multicriteria decision-making --- circular economy --- collection modes --- Chinese automobile manufacturing industry --- corporate environmental responsibility --- fuzzy DEMATEL --- triple bottom line --- sustainable development --- green manufacturing


Book
Evolutionary Computation
Authors: ---
ISBN: 3039219294 3039219286 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

Keywords

individual updating strategy --- integrated design --- global optimum --- flexible job shop scheduling problem --- whale optimization algorithm --- EHO --- bat algorithm with multiple strategy coupling (mixBA) --- multi-objective DV-Hop localization algorithm --- optimization --- rock types --- variable neighborhood search --- biology --- average iteration times --- CEC2013 benchmarks --- slicing tree structure --- firefly algorithm (FA) --- benchmark --- single loop --- evolutionary computation --- memetic algorithm --- normal cloud model --- 0-1 knapsack problems --- elite strategy --- diversity maintenance --- material handling path --- artificial bee colony algorithm (ABC) --- urban design --- entropy --- evolutionary algorithms (EAs) --- monarch butterfly optimization --- numerical simulation --- architecture --- set-union knapsack problem --- Wilcoxon test --- convolutional neural network --- global position updating operator --- particle swarm optimization --- computation --- minimum load coloring --- topology structure --- adaptive multi-swarm --- minimum total dominating set --- mutation operation --- shape grammar --- greedy optimization algorithm --- ?-Hilbert space --- genetic algorithm --- large scale optimization --- large-scale optimization --- NSGA-II-DV-Hop --- constrained optimization problems (COPs) --- first-arrival picking --- transfer function --- SPEA 2 --- stochastic ranking (SR) --- wireless sensor networks (WSNs) --- acceleration search --- convergence point --- fuzzy c-means --- evolutionary algorithm --- success rates --- Artificial bee colony --- particle swarm optimizer --- random weight --- range detection --- adaptive weight --- large-scale --- automatic identification --- cloud model --- swarm intelligence --- evolutionary multi-objective optimization --- DV-Hop algorithm --- bat algorithm (BA) --- Friedman test --- quantum uncertainty property --- facility layout design --- local search --- deep learning --- Y conditional cloud generator --- benchmark functions --- discrete algorithm --- dispatching rule --- DE algorithm --- nonlinear convergence factor --- energy-efficient job shop scheduling --- t-test --- evolution --- dimension learning --- global optimization --- confidence term --- elephant herding optimization --- moth search algorithm --- evolutionary


Book
Green Technologies for Production Processes
Authors: --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book focuses on original research works about Green Technologies for Production Processes, including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. This book includes 22 research papers and involves energy-saving and waste reduction in production processes, design and manufacturing of green products, low carbon manufacturing and remanufacturing, management and policy for sustainable production, technologies of mitigating CO2 emissions, and other green technologies.

Keywords

Technology: general issues --- electric power substitution --- potential forecasting --- CSO-ELM --- green sustainable development --- BFIMP --- all-factors analysis approach --- material flows --- energy flows --- operation parameters --- biomass resource --- power plant --- GHG emission mitigation --- Anhui --- emission reduction --- green production --- waste disposal --- co-incineration --- rotary kiln --- remanufacturing --- sustainability supply chain --- authorized remanufacturing --- game --- production process --- efficiency evaluation --- greenhouse vegetables --- data envelopment analysis --- sustainability --- micro energy grid --- distributed energy --- uncertainty --- risk aversion --- demand response --- grinding optimization --- low carbon --- low cost --- improved NSGA-II --- fuzzy matter element --- PV-storage charging stations --- green energy --- planning process --- bi-level optimization --- user utility --- energy-economizing --- hot stamping --- lightweight material --- magnesium alloy --- process parameters --- fluid–solid coupling --- coal containing gas --- permeability --- energy safety --- intelligent systems --- motor production lines --- process management --- sustainable process --- efficiency --- sustainability strategy --- scale development --- sustainable supply chain management --- implementation framework --- reverse logistics --- supplier selection --- MCDM --- multiprocess route --- workshop scheduling --- multi-objective optimization --- logistics intensity --- emergy --- logistics parks --- Halon candidate substitute --- aircraft weight reduction --- HFC-125 --- release pressure --- flow --- diffusion --- flexible job shop scheduling problem --- genetic algorithm --- multi-crossover operator --- co-evolution --- green synthesis --- multi-branched gold nanoparticles --- ultrasound --- hydroquinone --- chitosan --- renewable energy --- renewable portfolio standard --- nearby accommodation --- peak regulation --- prospect analysis --- multicriteria decision-making --- circular economy --- collection modes --- Chinese automobile manufacturing industry --- corporate environmental responsibility --- fuzzy DEMATEL --- triple bottom line --- sustainable development --- green manufacturing --- n/a --- fluid-solid coupling


Book
Green Technologies for Production Processes
Authors: --- --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book focuses on original research works about Green Technologies for Production Processes, including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. This book includes 22 research papers and involves energy-saving and waste reduction in production processes, design and manufacturing of green products, low carbon manufacturing and remanufacturing, management and policy for sustainable production, technologies of mitigating CO2 emissions, and other green technologies.

Keywords

electric power substitution --- potential forecasting --- CSO-ELM --- green sustainable development --- BFIMP --- all-factors analysis approach --- material flows --- energy flows --- operation parameters --- biomass resource --- power plant --- GHG emission mitigation --- Anhui --- emission reduction --- green production --- waste disposal --- co-incineration --- rotary kiln --- remanufacturing --- sustainability supply chain --- authorized remanufacturing --- game --- production process --- efficiency evaluation --- greenhouse vegetables --- data envelopment analysis --- sustainability --- micro energy grid --- distributed energy --- uncertainty --- risk aversion --- demand response --- grinding optimization --- low carbon --- low cost --- improved NSGA-II --- fuzzy matter element --- PV-storage charging stations --- green energy --- planning process --- bi-level optimization --- user utility --- energy-economizing --- hot stamping --- lightweight material --- magnesium alloy --- process parameters --- fluid–solid coupling --- coal containing gas --- permeability --- energy safety --- intelligent systems --- motor production lines --- process management --- sustainable process --- efficiency --- sustainability strategy --- scale development --- sustainable supply chain management --- implementation framework --- reverse logistics --- supplier selection --- MCDM --- multiprocess route --- workshop scheduling --- multi-objective optimization --- logistics intensity --- emergy --- logistics parks --- Halon candidate substitute --- aircraft weight reduction --- HFC-125 --- release pressure --- flow --- diffusion --- flexible job shop scheduling problem --- genetic algorithm --- multi-crossover operator --- co-evolution --- green synthesis --- multi-branched gold nanoparticles --- ultrasound --- hydroquinone --- chitosan --- renewable energy --- renewable portfolio standard --- nearby accommodation --- peak regulation --- prospect analysis --- multicriteria decision-making --- circular economy --- collection modes --- Chinese automobile manufacturing industry --- corporate environmental responsibility --- fuzzy DEMATEL --- triple bottom line --- sustainable development --- green manufacturing --- n/a --- fluid-solid coupling

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