Download or read book Development of diesel engine calibration optimization using a permutation genetic algorithm written by K. Diao and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Genetic Algorithms and Engineering Optimization written by Mitsuo Gen and published by John Wiley & Sons. This book was released on 1999-12-28 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)

Download or read book Using Genetic Algorithm Optimization to Improve Ignition Prediction for Multidimensional Diesel Engine Modeling written by Basilios Hamosfakidis and published by . This book was released on 2001 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Model Assisted Iterative Calibration of Internal Combustion Engines written by Anuj Pal and published by . This book was released on 2021 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent automotive technological advancements mainly focus on improving fuel economy with satisfactory emission levels, leading to a significant increment of engine system complexity, especially diesel engines. This increases the number of engine control parameters, making the engine calibration process challenging and time-consuming using the conventional map-based approach. Note that engine calibration is a crucial step in achieving optimal engine performance with satisfactory emissions, and it is an expensive process in general. With the advancement and widespread adoption of machine learning methods for control applications, it is now possible to use a black-box model with intelligence to efficiently calibrate nonlinear systems without detailed knowledge of system dynamics. The surrogate-assisted optimization approach is an attractive way to reduce the total computational budget for obtaining optimal solutions. This makes it special for its application to practical optimization problems requiring a large number of expensive evaluations.The current research work focuses on the problem of performing engine calibration using the surrogate-assisted optimization approach. The objective is to find the trade-off curve between engine efficiency in terms of brake specific fuel consumption (BSFC) and its NOx emissions by efficiently optimizing various control parameters. The complete study is divided into three parts. The first part deals with modifying the original algorithm for efficiently handling the practical system with measurement noise. A new constrained handling algorithm is proposed for lower confidence bound (LCB) criteria that showed good performance for both deterministic and stochastic systems. Furthermore, two extensions based on the expected improvement (EI) criterion are proposed for handling stochastic multi-objective problems.After the methodology development for handling stochastic systems, the second part validates their efficacy for performing the engine calibration in a simulation setting. All three algorithms are compared to identify the best approach for its implementation on the actual engine experimental setup. Three control parameters, namely variable geometry turbocharger (VGT) vane position, exhaust-gas-recirculating (EGR) valve position, and the start of injection (SOI), are calibrated to obtain the trade-off between engine fuel efficiency performance (BSFC) and NOx emissions within the constrained design space. The simulation study identifies the lower confidence bound (LCB) criteria with the proposed constraint handling approach to work well in the stochastic setting, compared with the other two extensions. Therefore, this approach is used for the experimental evaluation of the proposed surrogate-assisted optimization for engine calibration.Finally, the third part is the experimental validation. It is the first step towards automating the entire engine calibration process. Experimental evaluations are performed on a 6.7L Ford diesel engine to validate the algorithm's efficacy. Problems with different complexity are formulated and evaluated using the proposed approach. Initially, a simpler problem with two control variables is formulated to get the confidence to perform the experiments using the proposed algorithm. Two variables: EGR valve position and VGT vane positions, are calibrated to obtain a trade-off between engine efficiency (BSFC) and NOx emissions. After observing promising results, the study is concluded with a more complicated three control variable problem. An external electrically assisted boosting device (eBoost) is added to the engine system to perform calibration. Results showed improved engine performance using the eBoost with a significant reduction in calibration effort in terms of the number of experimental evaluations. The study successfully demonstrated the application of the surrogate-assisted optimization approach to a practical engine system and opened the door to automate the engine calibration process with reduced calibration efforts.

Download or read book Hybrid Evolutionary Algorithms written by Crina Grosan and published by Springer. This book was released on 2007-08-29 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". The chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. Overall, the book has 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. The contributions were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Download or read book Harmony Search Algorithm written by Joong Hoon Kim and published by Springer. This book was released on 2015-08-08 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.

Download or read book Evolutionary Constrained Optimization written by Rituparna Datta and published by Springer. This book was released on 2014-12-13 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.

Download or read book Logistics 4 0 written by Turan Paksoy and published by CRC Press. This book was released on 2020-12-17 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.

Download or read book Generalized Additive Models written by Simon Wood and published by CRC Press. This book was released on 2006-02-27 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models. Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv. Each chapter includes exercises, for which complete solutions are provided in an appendix. Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.

Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

Download or read book Nostradamus 2014 Prediction Modeling and Analysis of Complex Systems written by Ivan Zelinka and published by Springer. This book was released on 2014-06-09 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prediction of behavior of complex systems, analysis and modeling of its structure is a vitally important problem in engineering, economy and generally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such complex dynamics, which often exhibit strange behavior, and to use it in research or industrial applications, it is paramount to create its models. For this purpose there exists a rich spectrum of methods, from classical such as ARMA models or Box Jenkins method to modern ones like evolutionary computation, neural networks, fuzzy logic, geometry, deterministic chaos amongst others. This proceedings book is a collection of accepted papers of the Nostradamus conference that has been held in Ostrava, Czech Republic in June 2014. This book also includes outstanding keynote lectures by distinguished guest speakers: René Lozi (France), Ponnuthurai Nagaratnam Suganthan (Singapore) and Lars Nolle (Germany). The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods. This conference establishes a forum for presentation and discussion of recent research trends in the area of applications of various predictive methods.

Download or read book Optimal Shape Design of Aerodynamic Configurations microform a Newton Krylov Approach written by Nemec, Marian and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2003 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Intelligent Systems for Sustainable Development AI2SD 2018 written by Mostafa Ezziyyani and published by Springer. This book was released on 2019-02-04 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. In addition to the latest research in the field of energy, it offers new solutions, tools and effective techniques, and provides essential information on smart grids, renewable and economical energy. Further, it addresses modeling, storage management and decision support in the field of energy, offering a valuable guide for researchers, professionals and all those who are interested in the development of advanced intelligent systems in the energy sector.

Download or read book Advanced Intelligent Systems for Sustainable Development AI2SD 2020 written by Janusz Kacprzyk and published by Springer Nature. This book was released on 2022-02-10 with total page 1298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.

Download or read book Computational Logistics written by Eduardo Lalla-Ruiz and published by Springer Nature. This book was released on 2020-09-26 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020. The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics. Due to the Corona pandemic ICCL 2020 was held as a virtual event.

Download or read book Recent Developments of Electrical Drives written by Slawomir Wiak and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers covering a wide spectrum of theory and practice, deeply rooted in engineering problems at a high practical and theoretical level. The contents explore theory, control systems and applications, the heart of the matter in electrical drives.

Download or read book AI and Machine Learning Paradigms for Health Monitoring System written by Hasmat Malik and published by Springer Nature. This book was released on 2021-02-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.