Proceedings Of The 2000 Congress On Evolutionary Computation
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Proceedings Of The 2000 Congress On Evolutionary Computation
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Author :
language : en
Publisher:
Release Date : 2000
Proceedings Of The 2000 Congress On Evolutionary Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Evolutionary computation categories.
Proceedings Of The 2000 Congress On Evolutionary Computation
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Author : Institute of Electrical and Electronics Engineers
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2000
Proceedings Of The 2000 Congress On Evolutionary Computation written by Institute of Electrical and Electronics Engineers and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
These volumes contain the proceedings of the 2000 Congress on Evolutionary Computation. The papers address: genetic programming; evolutionary optimization; the evolution of neural networks; evolutionary robotics; data mining with evolutionary algorithms; bio-inspired hardware; and more.
Multiobjective Evolutionary Algorithms And Applications
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Author : Kay Chen Tan
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-04
Multiobjective Evolutionary Algorithms And Applications written by Kay Chen Tan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-04 with Computers categories.
Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.
Knowledge Incorporation In Evolutionary Computation
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Author : Yaochu Jin
language : en
Publisher: Springer
Release Date : 2013-04-22
Knowledge Incorporation In Evolutionary Computation written by Yaochu Jin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-22 with Mathematics categories.
Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu tionary search, into evolutionary algorithms has received increasing interest in the recent years. It has been shown from various motivations that knowl edge incorporation into evolutionary search is able to significantly improve search efficiency. However, results on knowledge incorporation in evolution ary computation have been scattered in a wide range of research areas and a systematic handling of this important topic in evolutionary computation still lacks. This edited book is a first attempt to put together the state-of-art and re cent advances on knowledge incorporation in evolutionary computation within a unified framework. Existing methods for knowledge incorporation are di vided into the following five categories according to the functionality of the incorporated knowledge in the evolutionary algorithms. 1. Knowledge incorporation in representation, population initialization, - combination and mutation. 2. Knowledge incorporation in selection and reproduction. 3. Knowledge incorporation in fitness evaluations. 4. Knowledge incorporation through life-time learning and human-computer interactions. 5. Incorporation of human preferences in multi-objective evolutionary com putation. The intended readers of this book are graduate students, researchers and practitioners in all fields of science and engineering who are interested in evolutionary computation. The book is divided into six parts. Part I contains one introductory chapter titled "A selected introduction to evolutionary computation" by Yao, which presents a concise but insightful introduction to evolutionary computation.
Mobile Robots The Evolutionary Approach
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Author : Leandro dos Santos Coelho
language : en
Publisher: Springer
Release Date : 2007-04-22
Mobile Robots The Evolutionary Approach written by Leandro dos Santos Coelho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-22 with Technology & Engineering categories.
Researchers have obtained robots that display an amazing slew of behaviors and perform a multitude of tasks, including perception of environment, negotiating rough terrain, and pushing boxes. This volume offers a wide spectrum of sample works developed in leading research throughout the world about evolutionary mobile robotics and demonstrates the success of the technique in evolving efficient and capable mobile robots.
Healthcare Staff Scheduling
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Author : Michael Mutingi
language : en
Publisher: CRC Press
Release Date : 2015-09-08
Healthcare Staff Scheduling written by Michael Mutingi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-08 with Business & Economics categories.
Healthcare operations, in hospitals and home healthcare settings, are inundated with complex fuzzy features that impose difficulties in the creation of work schedules. This book presents in-depth research on emerging approaches to healthcare staff scheduling. It starts by reviewing the key issues and challenges inherent in staff scheduling, along with the basic concepts of fuzzy set theory. Examining cutting-edge research applications, it details fuzzy optimization algorithms derived from biologically inspired approaches and fuzzy theory. Facilitating a practical and in-depth understanding of modern fuzzy metaheuristic optimization approaches, the book presents recent research on multi-criteria algorithms and their applications in healthcare operations, particularly staff scheduling.
Evolutionary Computation For Modeling And Optimization
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Author : Daniel Ashlock
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-04
Evolutionary Computation For Modeling And Optimization written by Daniel Ashlock and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-04 with Computers categories.
Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems, projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing different methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionary computation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students will find this book a useful guide to using evolutionary algorithms as a problem solving tool.
Foundations Of Computational Intelligence
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2009-04-30
Foundations Of Computational Intelligence written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Technology & Engineering categories.
Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental mo- toring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for - phisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a parti- lar hypothesis or to automatically find patterns. In the second case, which is - lated to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to p- dict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems.
Variants Of Evolutionary Algorithms For Real World Applications
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Author : Raymond Chiong
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-13
Variants Of Evolutionary Algorithms For Real World Applications written by Raymond Chiong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-13 with Technology & Engineering categories.
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
Evolutionary Computation And Complex Networks
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Author : Jing Liu
language : en
Publisher: Springer
Release Date : 2018-09-22
Evolutionary Computation And Complex Networks written by Jing Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-22 with Technology & Engineering categories.
This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.