Grouping Genetic Algorithms: Advances and Applications, Mutingi Michael, Mbohwa Charles
Автор: Mutingi Название: Grouping Genetic Algorithms ISBN: 3319443933 ISBN-13(EAN): 9783319443935 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms.Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Автор: Binxing Fang, Yan Jia Название: Groups and Interaction ISBN: 3110597772 ISBN-13(EAN): 9783110597776 Издательство: Walter de Gruyter Рейтинг: Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
Автор: Pascale Zarat?; Gregory E. Kersten; Jorge E. Hern? Название: Group Decision and Negotiation. A Process-Oriented View ISBN: 3319071785 ISBN-13(EAN): 9783319071787 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cooperative Decision Making: A Methodology Based on Collective Preferences Aggregation.- Enhancing Collaborative Decision-Making Processes Using a Web-Based Application: A Case Study of a UK Precision Engineering SME.- Assessing Mergers and Budget Constraint in Multiple-Unit ICT Procurements - The Cooperation/Competition Dilemma.- Are Procurement Auctions Good for Society and for Buyers?.- Exploring the Effect of Bidding Mechanisms in Online Penny Auction.- Using Biddings and Motivations in Multi-unit Assignments.- Knowledge Based Decision Support Systems: A Survey on Technologies and Application Domains.- On the Use of Cognitive Maps to Identify Meaning Variance.- A Framework for Optimising Inventory Level of Global Critical Knowledge to Support Group Decision Making.- Dynamic MCDM for Multi Group Decision Making.- Kapuer: A Decision Support System for Protecting Privacy.- An MCDM Approach to Group Processes Using Choquet Integration.- Spatial Multi Criteria Decision Analysis Based Assessment of Land Value in Abu Dhabi, UAE.- Rank Ordering Methods for Multi-criteria Decisions.- Defining Preferences and Reference Points - A Multiple Criteria Decision Making Experiment.- Bipolar Approach Applied to Group Decision Making Problems.- Adapting Agent's Interactions in Dynamic Contexts.- Interaction Protocols Adaptation for Negotiation in Opened Multi-agent Systems.- Modeling Negotiation as Social Interaction for ENS Design: The PROSPER Approach.- SAW-Based Rankings vs. Intrinsic Evaluations of the Negotiation Offers - An Experimental Study.- Making Sense of Intransitivity, Incompleteness and Discontinuity of Preferences.- Preference Elicitation for Group Decisions.- On Developing a Web-Based Time Preference Elicitation Engine: Implications for E - Negotiations.- Using Value Ranges to Reduce User Effort in Preference Elicitation.- Conflict Analysis between Environment Protection and Economic Development Based on GM-DEA Theory.- Analysis of Data from a Corporate Prediction Market.- An Integrated Decision Support System Framework for Strategic Planning in Higher Education Institutions.- On Facilitating Group Decision Making Processes with VIP Analysis.- The Network Perspective of Supply Chain Risks to Support Group Decision Making in Fast Moving Consumer Goods in Middle East Region.- A Distributed Decision Making and Propagation Approach for Trust-Based Service Discovery in Social Networks.- Semantic Web Tools and Decision-Making.
Описание: This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers
Автор: Lijuan Li; Feng Liu Название: Group Search Optimization for Applications in Structural Design ISBN: 3642268471 ISBN-13(EAN): 9783642268472 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading experts, this book contains recent research on group search optimization with applications in structural design. It details the latest research work related with particle swarm optimizer algorithm and group search optimizer algorithm.
Описание: It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems.
Автор: Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros Название: Advances in Metaheuristics Algorithms: Methods and Applications ISBN: 3030077365 ISBN-13(EAN): 9783030077365 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
Автор: Iv?n Palomares Carrascosa Название: Large Group Decision Making ISBN: 3030010260 ISBN-13(EAN): 9783030010263 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This SpringerBrief provides a pioneering, central point of reference for the interested reader in Large Group Decision Making trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others. Based on the challenges and difficulties found in classical approaches to handle large decision groups, the principles, families of techniques, and newly related disciplines to Large-Group Decision Making (such as Data Science, Artificial Intelligence, Social Network Analysis, Opinion Dynamics, Behavioral and Cognitive Sciences), are discussed. Real-world applications and future directions of research on this novel topic are likewise highlighted.
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.
Conflict Resolution.- Nash Stability in a Multi-Objective Graph Model with Interval Preference Weights: Application to a US-China Trade Dispute.- A Novel Conflict Resolution Model Based on the Composition of Probabilistic Preferences.- Analysis of Disputed Territories in the Barents Sea.- A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution.- Alternatives vs. Time - Measuring the Force of Distinct Sources of Bargaining Power.-Preference Modeling for Group Decision and Negotiation.- Influence Across Agents and Issues in Combinatorial and Collective Decision-making.- A Characterization for Procedural Choice Based on Dichotomous Preferences over Criteria.- Influence Among Preferences and Its Transformation to Behaviors in Groups: An Agent-based Modeling and Simulation of Fertility Intention and Behavior.- Manipulability of Majoritarian Procedures in Two-Dimensional Downsian Model.- Intelligent Group Decision Making and Consensus Process.- PredictRV: A Prediction Based Strategy for Negotiations with Dynamically Changing Reservation Value.- Inferring Personality Types for Better Automated Negotiation.- Decision Rule Aggregation Approach to Support Group Decision Making.- Collaborative Decision Making Processes.- An Ontology for Collaborative Decision Making.- Decidio: A Pilot Implementation and User Study of a Novel Decision-Support System.
Автор: E.A. Arn Название: Group Technology ISBN: 3540075054 ISBN-13(EAN): 9783540075059 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is done by a clear and practical definition of three GT manufacturing systems, the devel- opment of a set of classification systems for work pieces, working operations and man- ufacturing equipment, and in building a data bank from which a data basis for the GT planning process can be evaluated.
Описание: Introduction.- State of the art in fish behavioral studies using robots and robotic-fish design.- The zebrafish Danio rerio as a model animal for animal-robot interaction studies.- FishBot, the fast miniature wheeledmobile robot.- RiBot, the actuated robotic fish lure.- Automated setup to conduct experiments with mixed societies of fish and robots.- CATS, the control and tracking software.- Biomimetic behavior models for controlling a robotic fish.- Application of a fractional factorial design to model the attractiveness of a robotic fish to a shoal of zebrafish.- Using a circular corridor to characterize the attractive cues of lures for a shoal of zebrafish.- Towards mixed societies of fish and robots.- Conclusion.
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