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Metaheuristics
Combinatorial optimization is the process of finding the best, or optimal, so lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo cation, logic, and assignment of resources. The economic impact of combi natorial optimization is profound, affecting sectors as diverse as transporta tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu nications, biotechnology, financial services, and agriculture. While much progress h...
Digitalization, Technology and Global Business
This book explores the impact that changes brought by digitalization are having in the way global businesses are run and grown. The main changes in recent years have come from the ubiquitous presence of technology in our daily life (and therefore in business) and also by the direction globalization is taken. Consequently, companies need to review their sources of growth. This book has four primary missions. The first is to critically analyze the impact of digitalization and technology on incumbent international business theories. The second is to deeply understand how digitalization and technology can continue to create growth opportunities. The third is to engage with the opportunities and challenges that digital models and new technologies, digital platforms and Artificial Intelligence in particular, are bringing to the current business and economic environment. And finally, the fourth is to think on possible scenarios and trends that can be the source of growth in the future. This book will be of interest to academics of digital business, international business and innovation and society. It will also be of interest to practitioners and policymakers.
Operational Research for Health Policy: Making Better Decisions
ORAHS, the Working Group on Operational Research Applied to Health Services, is a special-interest group of EURO (the European Association of OR Societies). ORAHS meets every year in a different host country. The objectives of the group include communication of ideas, knowledge and experience concerning the application of Operational Research approaches and methods to problems in the health services area; mutual support between members; and collaboration on joint projects. The 31st meeting of ORAHS was held in 2005 at the University of Southampton, UK. A total of forty-one scientific papers were presented, nineteen of which are contained in this volume. The application areas covered include resource allocation, performance measurement and disease modelling, from within Europe and beyond. The approaches used range from mathematical optimization, simulation and statistical modelling through to «soft» OR. These proceedings provide a broad perspective on current research in this area across Europe and beyond.
Recent Advances in Evolutionary Computation for Combinatorial Optimization
Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. The intrinsic complexity of most combinatorial optimisation problems makes classical methods unaffordable in many cases. To acquire practical solutions to these problems requires the use of metaheuristic approaches that trade completeness for pragmatic effectiveness. Such approaches are able to provide optimal or quasi-optimal solutions to a plethora of difficult combinatorial optimisation problems. The application of metaheuristics to combinatorial optimisation is an active field in which new theoretical developments, new algorithmic models, and new application areas are continuously emerging. This volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches. In this sense, the book includes cutting-edge theoretical, methodological, algorithmic and applied developments in the field, from respected experts and with a sound perspective.
Collaborative Business Ecosystems and Virtual Enterprises
Towards collaborative business ecosystems Last decade was fertile in the emerging of new collaboration mechanisms and forms of dynamic virtual organizations, leading to the concept of dynamic business ecosystem, which is supported (or induced ?) by the progress of the ubiquitous I pervasive computing and networking. The new technologies, collaborative business models, and organizational forms supported by networking tools "invade" all traditional businesses and organizations what requires thinking in terms of whole systems, i. e. seeing each business as part of a wider economic ecosystem and environment. It is also becoming evident that the agile formation of very dynamic virtual organizatio...
Establishing the Foundation of Collaborative Networks
This book includes a number of selected papers from the PRO-VE '07 Conference, providing a comprehensive overview of recent advances in various Collaborative Networks domains. It covers trust aspects, performance and value systems, VO breeding environments, VO creation, e-contracting, collaborative architectures and frameworks, professional virtual communities, interoperability issues, business benefits, and case studies and applications in industry and services.
Handbook of Metaheuristics
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The auth...
Evolutionary Algorithms for Solving Multi-Objective Problems
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
Multi-Objective Programming and Goal Programming
This volume constitutes the proceedings of the Fifth International Conference on Multi-Objective Programming and Goal Programming: Theory & Appli cations (MOPGP'02) held in Nara, Japan on June 4-7, 2002. Eighty-two people from 16 countries attended the conference and 78 papers (including 9 plenary talks) were presented. MOPGP is an international conference within which researchers and prac titioners can meet and learn from each other about the recent development in multi-objective programming and goal programming. The participants are from different disciplines such as Optimization, Operations Research, Math ematical Programming and Multi-Criteria Decision Aid, whose common in terest is in m...
Hybrid Metaheuristics
Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.
