This book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspired computing. This highly multidisciplinary book offers a unique blend of topical contributions that are written by biologists, computer scientists and mathematicians with non-expert readers in mind. It reflects important trends and developments in this exciting field of science.
The volume can serve as a textbook and reference book for advanced students and computer scientists, biologists, and mathematicians.
This book deals with key issues in the emerging interdisciplinary area involving cellular systems, computational modelling, and biologically inspir...
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and...
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems an...
The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical...
The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intellige...
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas- ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in- teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial...
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become inc...
Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms. An aggregation algorithm for Markov chains is introduced which is useful for studying not only evolutionary algorithms specifically, but also complex systems in general. Practical consequences of the...
Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination...
Membrane computing is a branch of natural computing which investigates computing models abstracted from the structure and functioning of living cells and from their interactions in tissues or higher-order biological structures. The models considered, called membrane systems (P systems), are parallel, distributed computing models, processing multisets of symbols in cell-like compartmental architectures. In many applications membrane systems have considerable advantages - among these are their inherently discrete nature, parallelism, transparency, scalability and nondeterminism.
In...
Membrane computing is a branch of natural computing which investigates computing models abstracted from the structure and functioning of living cel...
During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim cam- pus of the University of Antwerp, Belgium. Originally intended as a small get- together of PhD students interested in the theory of evolutionary computing, the summer school grew to become a successful combination of a four-day workshop with over twenty researchers in the field and a two-day lecture series open to a wider audience. This book is based on the lectures and workshop contributions of this summer school. Its first part consists of...
During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim c...
Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten years. In contrast to its broad propagation, theoretical analysis in this subject has not progressed as much. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is deriving a qualitative understanding of why and how these ES algorithms work.
Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten ye...
DNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer science, biology, engineering, andmathematics.AlthoughanticipatedbyFe- man as long ago as the 1950s 59], the notion of performing computations at a molecular level was only realized in 1994, with Adleman's seminal work 3] on computing with DNA. Since then the ?eld has blossomed rapidly, with signi?cant theoretical and experimental results being reported regularly. Several books 120, 39] have described various aspects of DNA compu- tion, but...
DNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer sc...
After the first edition of this book was published, I received much positive feedback from the readers. It was very helpful to have all those comments sug- gesting improvements and corrections. In many cases, it was suggested that more aspects on quantum information would be welcome. Unfortunately, I am afraid that an attempt to cover such a broad area as quantum informa- tion theory would make this book too scattered to be helpful for educational purposes. On the other hand, ladmit that some aspects of quantum information should be discussed. The first edition already contained the so-called...
After the first edition of this book was published, I received much positive feedback from the readers. It was very helpful to have all those comments...
