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Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.
"This book provides the reader with a concrete understanding of basic principles and pitfalls for 3-D capturing, highlighting stereoscopic imaging systems including holography"--
Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems. The Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain real-world problems. .
This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies
This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering.
This book is a printed edition of the Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector" that was published in Energies
This edited book serves as a companion volume to the Seventh INFORMS Telecommunications Conference held in Boca Raton, Florida, March 7-10, 2004. The 18 papers in this book were carefully selected after a thorough re view process. The research presented within these articles focuses on the latest methodological developments in three key areas—pricing of telecommunica tions services, network design, and resource allocation—that are most relevant to current telecommunications planning. With the global deregulation of the telecommunications industry, effective pricing and revenue management, as well as an understanding of competi tive pressures are key factors that will improve revenue in telecommunica tions companies. Chapters 1-5 address these topics by focusing on pricing of telecommunications services. They present some novel ideas related to pricing (including auction-based pricing of network bandwidth) and modeling compe tition in the industry. The successful telecommunications companies of the future will likely be the ones that can minimize their costs while meeting customer expectations. In this context the optimal design/provisioning of telecommunication networks plays an important role. Chapters 6-12 address these topics by focusing on net work design for a wide range of technologies including SONET, SDH, WDM, and MPLS. They include the latest research developments related to the mod eling and solving of network design problems. Day-to-day management/control of telecommunications networks is depen dent upon the optimal allocation of resources. Chapters 13-18 provide insight ful solutions to several intriguing resource allocation problems.
Applied Time Series Analysis and Innovative Computing contains the applied time series analysis and innovative computing paradigms, with frontier application studies for the time series problems based on the recent works at the Oxford University Computing Laboratory, University of Oxford, the University of Hong Kong, and the Chinese University of Hong Kong. The monograph was drafted when the author was a post-doctoral fellow in Harvard School of Engineering and Applied Sciences, Harvard University. It provides a systematic introduction to the use of innovative computing paradigms as an investigative tool for applications in time series analysis. Applied Time Series Analysis and Innovative Computing offers the state of art of tremendous advances in applied time series analysis and innovative computing paradigms and also serves as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms.
This book examines the newer and emerging models of telecommunications technology that play instrumental roles in providing international economic and societal interconnectivity. Advancing technology in the field imposes the need to develop new models to solve complex planning and decision making problems. The book explores natural output of the new technical developments and applications with selective chapter treatment on novel business models to fill technical and business needs.
This book represents the results of cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high caliber of research being conducted by members of the INFORMS Computing Society.