This volume refers to the formal description of mobility in computer science, using p-calculus, ambient calculus, bioambients, brane calculi, and systems of mobile membranes. Concepts are supported by examples and exercises, which makes it suitable for relevant courses.
This volume refers to the formal description of mobility in computer science, using p-calculus, ambient calculus, bioambients, brane calculi, and syst...
A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field is concerned with the interactions between computer science on the one hand and biology, chemistry, and DNA-oriented nanoscience on the other. In particular, this book offers a comprehensive overview of research into algorithmic self-assembly, RNA folding, the algorithmic foundations for biochemical reactions, and the algorithmic nature of developmental processes.
The editors of the book invited 36 chapters, written by the...
A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field...
Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in the data, i.e., to directly solve the target data mining problem. This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters.
The authors first offer introductory overviews on data mining, focusing on rule induction methods, and on evolutionary algorithms, focusing on genetic...
Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algo...
Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters.
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Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and ...
Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area.
The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial...
Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering p...
