Handbook of Research on Nature-Inspired Computing for Economics and Management

Handbook of Research on Nature-Inspired Computing for Economics and Management
Author: Rennard, Jean-Philippe
Publisher: IGI Global
Total Pages: 1066
Release: 2006-09-30
Genre: Business & Economics
ISBN: 1591409853

"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Handbook of Research on Novel Soft Computing Intelligent Algorithms
Author: Pandian Vasant
Publisher: IGI Global
Total Pages: 1173
Release: 2013-08-31
Genre: Technology & Engineering
ISBN: 1466644516

"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Author: Kose, Utku
Publisher: IGI Global
Total Pages: 411
Release: 2018-03-31
Genre: Technology & Engineering
ISBN: 1522547703

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Natural Computing in Computational Finance

Natural Computing in Computational Finance
Author: Anthony Brabazon
Publisher: Springer
Total Pages: 203
Release: 2011-10-14
Genre: Technology & Engineering
ISBN: 3642233368

This book follows on from Natural Computing in Computational Finance Volumes I, II and III. As in the previous volumes of this series, the book consists of a series of chapters each of which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. which was selected following a rigorous, peer-reviewed, selection process. The chapters illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. The applications explored include option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading, corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation. While describing cutting edge applications, the chapters are written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics. written so that they are accessible to a wide audience. Hence, they should be of interest to academics, students and practitioners in the fields of computational finance and economics.

Distributed Computing and Artificial Intelligence, 11th International Conference

Distributed Computing and Artificial Intelligence, 11th International Conference
Author: Sigeru Omatu
Publisher: Springer
Total Pages: 562
Release: 2014-05-30
Genre: Technology & Engineering
ISBN: 3319075934

The 11th International Symposium on Distributed Computing and Artificial Intelligence 2014 (DCAI 2014) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research (Algeria, Brazil, China, Croatia, Czech Republic, Denmark, France, Germany, Ireland, Italy, Japan, Malaysia, Mexico, Poland, Portugal, Republic of Korea, Spain, Taiwan, Tunisia, Ukraine, United Kingdom), representing a truly “wide area network” of research activity. DCAI'14 Special Sessions have been a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Sessions that emphasize on multi-disciplinary and transversal aspects, such as AI-driven methods for Multimodal Networks and Processes Modeling and Multi-Agents Macroeconomics have been especially encouraged and welcome. This symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group (http://bisite.usal.es/) of the University of Salamanca. The present edition was held in Salamanca, Spain, from 4th to 6th June 2014.

Handbook on the History of Economic Analysis Volume III

Handbook on the History of Economic Analysis Volume III
Author: Gilbert Faccarello
Publisher: Edward Elgar Publishing
Total Pages: 660
Release: 2016-07-27
Genre: Business & Economics
ISBN: 1785365061

This unique troika of Handbooks provides indispensable coverage of the history of economic analysis. Edited by two of the foremost academics in the field, the volumes gather together insightful and original contributions from scholars across the world. The encyclopaedic breadth and scope of the original entries will make these Handbooks an invaluable source of knowledge for all serious students and scholars of the history of economic thought.

Biotechnology: Concepts, Methodologies, Tools, and Applications

Biotechnology: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 2220
Release: 2019-06-07
Genre: Science
ISBN: 152258904X

Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.

The Elgar Companion to Recent Economic Methodology

The Elgar Companion to Recent Economic Methodology
Author: J. B. Davis
Publisher: Edward Elgar Publishing
Total Pages: 553
Release: 2011-01-01
Genre: Business & Economics
ISBN: 085793807X

Economic methodology has traditionally been associated with logical positivism in the vein of Milton Friedman, Karl Popper, Imre Lakatos and Thomas Kuhn. However, the emergence and proliferation of new research programs in economics have stimulated many novel developments in economic methodology. This impressive Companion critically examines these advances in methodological thinking, particularly those that are associated with the new research programs which challenge standard economic methodology. Bringing together a collection of leading contributors to this new methodological thinking, the authors explain how it differs from the past and point towards further concerns and future issues. The recent research programs explored include behavioral and experimental economics, neuroeconomics, new welfare theory, happiness and subjective well-being research, geographical economics, complexity and computational economics, agent-based modeling, evolutionary thinking, macroeconomics and Keynesianism after the crisis, and new thinking about the status of the economics profession and the role of the media in economics. This important compendium will prove invaluable for researchers and postgraduate students of economic methodology and the philosophy of economics. Practitioners in the vanguard of new economic thinking will also find plenty of useful information in this path-breaking book.

Agent Based Models for Economic Policy Advice

Agent Based Models for Economic Policy Advice
Author: Blake LeBaron
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 160
Release: 2016-11-21
Genre: Business & Economics
ISBN: 3110508842

This special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.

Nature-Inspired Computing and Optimization

Nature-Inspired Computing and Optimization
Author: Srikanta Patnaik
Publisher: Springer
Total Pages: 506
Release: 2017-03-07
Genre: Technology & Engineering
ISBN: 3319509209

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.