Описание: Albert Zomaya was named an ACM Distinguished Engineer in 2006, at the inception of ACMвЂ™s program to recognize engineers and scientists for their contributions to both the practical and theoretical aspects of computing and information technology.
Описание: For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research.The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference works applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientist, decision makers, managers and practitioners.
Описание: This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.
Описание: World Congress on Nature and Biologically InspiredComputing (NaBIC) is organized to discuss the state-of-the-art as well as toaddress various issues with respect to Nurturing Intelligent Computing TowardsAdvancement of Machine Intelligence.
Описание: As technologies grow more complex, modelling and simulation of new intelligent systems becomes increasingly challenging and nuanced; specifically in diverse fields such as medicine, engineering, and computer science. <br><br><em>Soft Computing Intelligent Algorithms in Engineering, Management, and Technology</em> explores emerging technologies and best practices to effectively address concerns inherent in properly optimising advanced systems. With applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies, this exceptional reference will serve as an important tool for decision makers, managers, researchers, economists, and industrialists across a wide range of scientific fields.
Описание: Models.- Changing Challenges for Collaborative Algorithmics.- Arm++: A Hybrid Association Rule Mining Algorithm.- Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems.- Evolutionary Paradigms.- Artificial Neural Networks.- Swarm Intelligence.- Fuzzy Logic.- Quantum Computing.- Enabling Technologies.- Computer Architecture.- A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today's MEMS Implementations (A Survey Report).- Morphware and Configware.- Evolving Hardware.- Implementing Neural Models in Silicon.- Molecular and Nanoscale Computing and Technology.- Trends in High-Performance Computing.- Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers.- Web Service Computing: Overview and Directions.- Predicting Grid Resource Performance Online.- Application Domains.- Pervasive Computing: Enabling Technologies and Challenges.- Information Display.- Bioinformatics.- Noise in Foreign Exchange Markets.
Описание: Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.
Описание: A collection of algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature.
Описание: Nature-inspired algorithms have become popular because many real-world optimization problems have become increasingly large, complex and dynamic. This book covers the latest algorithms and important studies for tackling various kinds of optimization problems.
Описание: Recent advances in multi-objective, nature-inspired computing is presented in this comprehensive reference. This collection provides the non-expert with an overview of the field, and aims to motivate researchers to contribute to the field.
Автор: Bijaya Ketan Panigrahi; M. N. Hoda; Vinod Sharma; Название: Nature Inspired Computing ISBN: 9811067465 ISBN-13(EAN): 9789811067464 Издательство: Springer Рейтинг: Цена: 12704 р. Наличие на складе: Поставка под заказ.
Описание: This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews.