Natural Intelligence For Scheduling Planning And Packing Problems

Author : Raymond Chiong
Publisher : Springer
ISBN 13 : 364204039X
Total Pages : 338 pages
Book Rating : 4.99/5 ( download)

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Download or read book Natural Intelligence for Scheduling, Planning and Packing Problems written by Raymond Chiong and published by Springer. This book was released on 2009-11-18 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling, planning and packing are ubiquitous problems that can be found in a wide range of real-world settings. These problems transpire in a large variety of forms, and have enormous socio-economic impact. For many years, significant work has been devoted to automating the processes of scheduling, planning and packing using different kinds of methods. However, poor scaling and the lack of flexibility of many of the conventional methods coupled with the fact that most of the real-world problems across the application areas of scheduling, planning and packing nowadays tend to be of large scale, dynamic and full of complex dependencies have made it necessary to tackle them in unconventional ways. This volume, "Natural Intelligence for Scheduling, Planning and Packing Problems", is a collection of numerous natural intelligence based approaches for solving various kinds of scheduling, planning and packing problems. It comprises 12 chapters which present many methods that draw inspiration from nature, such as evolutionary algorithms, neural-fuzzy system, particle swarm algorithms, ant colony optimisation, extremal optimisation, raindrop optimisation, and so on. Problems addressed by these chapters include freight transportation, job shop scheduling, flowshop scheduling, electrical load forecasting, vehicle routing, two-dimensional strip packing, network configuration and forest planning, among others. Along with solving these problems, the contributing authors present a lively discussion of the various aspects of the nature-inspired algorithms utilised, providing very useful and important new insights into the research areas.

Author : Raymond Chiong
Publisher : Springer Science & Business Media
ISBN 13 : 3642040381
Total Pages : 338 pages
Book Rating : 4.82/5 ( download)

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Download or read book Natural Intelligence for Scheduling, Planning and Packing Problems written by Raymond Chiong and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling, planning and packing are ubiquitous problems that can be found in a wide range of real-world settings. These problems transpire in a large variety of forms, and have enormous socio-economic impact. For many years, significant work has been devoted to automating the processes of scheduling, planning and packing using different kinds of methods. However, poor scaling and the lack of flexibility of many of the conventional methods coupled with the fact that most of the real-world problems across the application areas of scheduling, planning and packing nowadays tend to be of large scale, dynamic and full of complex dependencies have made it necessary to tackle them in unconventional ways. This volume, "Natural Intelligence for Scheduling, Planning and Packing Problems", is a collection of numerous natural intelligence based approaches for solving various kinds of scheduling, planning and packing problems. It comprises 12 chapters which present many methods that draw inspiration from nature, such as evolutionary algorithms, neural-fuzzy system, particle swarm algorithms, ant colony optimisation, extremal optimisation, raindrop optimisation, and so on. Problems addressed by these chapters include freight transportation, job shop scheduling, flowshop scheduling, electrical load forecasting, vehicle routing, two-dimensional strip packing, network configuration and forest planning, among others. Along with solving these problems, the contributing authors present a lively discussion of the various aspects of the nature-inspired algorithms utilised, providing very useful and important new insights into the research areas.

Author : Paulo Novais
Publisher : Springer
ISBN 13 : 3319250175
Total Pages : 500 pages
Book Rating : 4.75/5 ( download)

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Download or read book Intelligent Distributed Computing IX written by Paulo Novais and published by Springer. This book was released on 2015-10-26 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the combined peer-reviewed proceedings of the ninth International Symposium on Intelligent Distributed Computing – IDC’2015, of the Workshop on Cyber Security and Resilience of Large-Scale Systems – WSRL’2015, and of the International Workshop on Future Internet and Smart Networks – FI&SN’2015. All the events were held in Guimarães, Portugal during October 7th-9th, 2015. The 46 contributions published in this book address many topics related to theory and applications of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

Author : Ana Maria Madureira
Publisher : Springer
ISBN 13 : 3319534807
Total Pages : 1086 pages
Book Rating : 4.00/5 ( download)

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Download or read book Intelligent Systems Design and Applications written by Ana Maria Madureira and published by Springer. This book was released on 2017-02-22 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises selected papers from the 16th International Conference on Intelligent Systems Design and Applications (ISDA’16), which was held in Porto, Portugal from December 1 to16, 2016. ISDA 2016 was jointly organized by the Portugual-based Instituto Superior de Engenharia do Porto and the US-based Machine Intelligence Research Labs (MIR Labs) to serve as a forum for the dissemination of state-of-the-art research and development of intelligent systems, intelligent technologies, and applications. The papers included address a wide variety of themes ranging from theories to applications of intelligent systems and computational intelligence area and provide a valuable resource for students and researchers in academia and industry alike.

Author : Taghipour, Atour
Publisher : IGI Global
ISBN 13 : 1522573003
Total Pages : 287 pages
Book Rating : 4.05/5 ( download)

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Download or read book Hierarchical Planning and Information Sharing Techniques in Supply Chain Management written by Taghipour, Atour and published by IGI Global. This book was released on 2019-01-22 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient supply chain management is essential for maintaining successful workflows within companies. A lack of decisional, organizational, and information integration can lead to increased cost for a business due to missed opportunities, delays, inefficient inventory decisions, poor capacity allocation, and misuse of resources. Companies must employ collaborative practices across all functions of the supply chain in order to avoid costly mishaps. Hierarchical Planning and Information Sharing Techniques in Supply Chain Management is an essential reference source that discusses information exchanges and approaches of coordination related to operation planning for a better understanding of how hierarchical planning techniques and principles can contribute to the effective and efficient management and planning of supply chain activities. Featuring research on topics such as competitive advantages, information sharing, and transport management, this book is ideally designed for managers, academicians, and practitioners in the field of supply chain management, operations management, logistics, and operations research.

Author : Edward Szczerbicki
Publisher : Springer
ISBN 13 : 3642041701
Total Pages : 336 pages
Book Rating : 4.09/5 ( download)

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Download or read book Intelligent Systems for Knowledge Management written by Edward Szczerbicki and published by Springer. This book was released on 2009-11-24 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Author : Oscar Castillo
Publisher : Springer Science & Business Media
ISBN 13 : 3642045138
Total Pages : 320 pages
Book Rating : 4.34/5 ( download)

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Download or read book Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2009-10-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Author : Zbigniew W Ras
Publisher : Springer Science & Business Media
ISBN 13 : 364204140X
Total Pages : 353 pages
Book Rating : 4.02/5 ( download)

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Download or read book Advances in Information and Intelligent Systems written by Zbigniew W Ras and published by Springer Science & Business Media. This book was released on 2009-10-12 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The College of Computing and Informatics (CCI) at UNC-Charlotte has three departments: Computer Science, Software and Information Systems, and Bioinformatics and Genomics. The Department of Computer Science offers study in a variety of specialized computing areas such as database design, knowledge systems, computer graphics, artificial intelligence, computer networks, game design, visualization, computer vision, and virtual reality. The Department of Software and Information Systems is primarily focused on the study of technologies and methodologies for information system architecture, design, implementation, integration, and management with particular emphasis on system security. The Department of Bioinformatics and Genomics focuses on the discovery, development and application of novel computational technologies to help solve important biological problems. This volume gives an overview of research done by CCI faculty in the area of Information & Intelligent Systems. Presented papers focus on recent advances in four major directions: Complex Systems, Knowledge Management, Knowledge Discovery, and Visualization. A major reason for producing this book was to demonstrate a new, important thrust in academic research where college-wide interdisciplinary efforts are brought to bear on large, general, and important problems. As shown in the research described here, these efforts need not be formally organized joint undertakings (through parts could be) but are rather a convergence of interests around grand themes.

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 3642045162
Total Pages : 258 pages
Book Rating : 4.65/5 ( download)

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Download or read book Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition written by Patricia Melin and published by Springer. This book was released on 2009-11-19 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Author : Ana Paula Rocha
Publisher : Springer Nature
ISBN 13 : 3030711587
Total Pages : 520 pages
Book Rating : 4.80/5 ( download)

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Download or read book Agents and Artificial Intelligence written by Ana Paula Rocha and published by Springer Nature. This book was released on 2021-03-13 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020. Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence.