Parallel Genetic Algorithms

Volume 3: Complex Coding Systems of the Practical Handbook of Genetic Algorithms contains computer-code examples for the development of genetic algorithm systems, compiling them from an array of prac

There is not just a desire but a profound human need for enhancement - the irrepressible yearning to become better than ourselves. Today, enhancement is often conceived of in terms of biotechnical intervention: genetic modification, prostheses, implants, drug therapy - even mind uploading. The theme of this book is an ancient form of enhancement: a physical upgrade that involves ethical practices of self-realization. It has been called 'angelification' - a transformation by which people become angels. The parallel process is 'daimonification', or becoming daimones. Ranging in time from Hesiod and Empedocles through Plato and Origen to Plotinus and Christian gnostics, this book explores not only how these two forms of posthuman transformation are related, but also how they connect and chasten modern visions of transhumanist enhancement which generally lack a robust account of moral improvement.

Recursion and self-embedding are at the heart of our ability to formulate our thoughts, articulate our imagination and share with other human beings. Nonetheless, controversy exists over the extent to which recursion is shared across all domains of syntax. A collection of 18 studies are presented here on the central linguistic property of recursion, examining a range of constructions in over a dozen languages representing great areal, typological and genetic diversity and spanning wide latitudes. The volume expands the topic to include prepositional phrases, possessives, adjectives, and relative clauses - our many vehicles to express creative thought - to provide a critical perspective on claims about how recursion connects to broader aspects of the mind. Parallel explorations across language families, literate and non-literate societies, children and adults are investigated and constitutes a new step in the generative tradition by simultaneously focusing on formal theory, acquisition

Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on al