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Author: John H. E. Taplin
Publisher: Edward Elgar Publishing
ISBN: 9781781959015
Category : Computers
Languages : en
Pages : 244
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Book Description
"Demonstrating the application of evolutionary computing techniques to an exceptionally complex problem in the real business world, Cost-Benefit Analysis and Evolutionary Computing will be of great value to academics and those practitioners and researchers interested in addressing the classic issue of evaluating road expansion and maintenance programs."--BOOK JACKET.
Author: John H. E. Taplin
Publisher: Edward Elgar Publishing
ISBN: 9781781959015
Category : Computers
Languages : en
Pages : 244
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Book Description
"Demonstrating the application of evolutionary computing techniques to an exceptionally complex problem in the real business world, Cost-Benefit Analysis and Evolutionary Computing will be of great value to academics and those practitioners and researchers interested in addressing the classic issue of evaluating road expansion and maintenance programs."--BOOK JACKET.
Author: Günter Rudolph
Publisher: Springer Science & Business Media
ISBN: 3540876995
Category : Computers
Languages : en
Pages : 1183
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Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.
Author: Siddhartha Shakya
Publisher: Springer Science & Business Media
ISBN: 3642289002
Category : Technology & Engineering
Languages : en
Pages : 247
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Book Description
Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of machine learning methods in optimization, mainly due to their efficiency to solve complex real-world optimization problems and their suitability for theoretical analysis. This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models. All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. The book should be of interest to researchers and practitioners from areas such as optimization, evolutionary computation, and machine learning.
Author: Ying-ping Chen
Publisher: Springer Science & Business Media
ISBN: 3642128343
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models the relation between decision variables with the genetic linkage observed in biological systems, and linkage learning connects computational optimization methodologies and natural evolution mechanisms. Exploitation of linkage learning can enable us to design better evolutionary algorithms as well as to potentially gain insight into biological systems. Linkage learning has the potential to become one of the dominant aspects of evolutionary algorithms; research in this area can potentially yield promising results in addressing the scalability issues.
Author: Yaochu Jin
Publisher: Springer
ISBN: 3540445110
Category : Mathematics
Languages : en
Pages : 543
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Book Description
Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.
Author: Vijay Nath
Publisher: Springer
ISBN: 9811370915
Category : Technology & Engineering
Languages : en
Pages : 673
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Book Description
The book presents high-quality papers from the Third International Conference on Microelectronics, Computing & Communication Systems (MCCS 2018). It discusses the latest technological trends and advances in MEMS and nanoelectronics, wireless communications, optical communication, instrumentation, signal processing, image processing, bioengineering, green energy, hybrid vehicles, environmental science, weather forecasting, cloud computing, renewable energy, RFID, CMOS sensors, actuators, transducers, telemetry systems, embedded systems, and sensor network applications. It includes papers based on original theoretical, practical and experimental simulations, development, applications, measurements, and testing. The applications and solutions discussed in the book provide excellent reference material for future product development.
Author: James H. Meisel
Publisher: Routledge
ISBN: 042960498X
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
The world is increasingly concerned with bridging the developmental gap between the developed and developing countries. With the establishment of a number of institutions for funding the projects including the World Bank, Asian Development Bank, and many other agencies, the need to develop mechanisms to assess economically viable projects is more important than ever. The Social-Cost Benefit Analysis (SCBA) is an important technique used in formulating, appraising, and evaluating projects. It is a facet of applied welfare economics which is increasingly being used to identify and assess public projects in both developing and developed countries. This volume presents a comprehensive view of cost-benefit analysis in its theoretical and applied dimensions. Both theory and case studies are presented. The theoretical setting for Cost-Benefit Analysis is established by the first five chapters-"Spatial General Equilibrium and Cost-Benefit Analysis," by David M. Newbery; "Optimum Growth Theory and Social Time Preference: A Computerized Mathematical Modeling Exercise to Choose a Social Discount Rate," by Sardar M. N. Islam; "A Theoretical Inquiry of the Axiomatic Consistency of Distributional Weights used in Cost-Benefit Analysis," by Giuseppe Munda; "The Output Gap: Measurement, Related Concepts, and Policy Implications," by Parameswar Nandakumar; and "A Methodological Comparison of Theoretical Approaches in Dichotomous Choice Contingent Valuation," by John C. Whitehead. This book will be useful as a reference text by professors and students in project appraisal classes and will be of equal value to analysts, planners, and interested general readers.
Author: Neha Sharma
Publisher: Springer Nature
ISBN: 9811556164
Category : Technology & Engineering
Languages : en
Pages : 471
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Book Description
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Author: Dan M. Frangopol
Publisher: Routledge
ISBN: 1351182781
Category : Technology & Engineering
Languages : en
Pages : 871
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Book Description
Our knowledge to model, design, analyse, maintain, manage and predict the life-cycle performance of infrastructure systems is continually growing. However, the complexity of these systems continues to increase and an integrated approach is necessary to understand the effect of technological, environmental, economic, social, and political interactions on the life-cycle performance of engineering infrastructure. In order to accomplish this, methods have to be developed to systematically analyse structure and infrastructure systems, and models have to be formulated for evaluating and comparing the risks and benefits associated with various alternatives. Civil engineers must maximize the life-cycle benefits of these systems to serve the needs of our society by selecting the best balance of the safety, economy, resilience and sustainability requirements despite imperfect information and knowledge. Within the context of this book, the necessary concepts are introduced and illustrated with applications to civil and marine structures. This book is intended for an audience of researchers and practitioners world‐wide with a background in civil and marine engineering, as well as people working in infrastructure maintenance, management, cost and optimization analysis. The chapters originally published as articles in Structure and Infrastructure Engineering.
Author: William E. Hart
Publisher: Springer
ISBN: 3540323635
Category : Mathematics
Languages : en
Pages : 406
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Book Description
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.
