The field of metaheuristics for the application to combinatorial optimization problems is a
rapidly growing field of research. This is due to the importance of combinatorial optimization …

Biological neural networks are systems of extraordinary computational capabilities shaped
by evolution, development, and lifelong learning. The interplay of these elements leads to …

It is already true that Big Data has drawn huge attention from researchers in information
sciences, policy and decision makers in governments and enterprises. As the speed of …

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap
between the separate worlds of hardware and software design—the key feature of …

A new form of Genetic Programming (GP) called Cartesian Genetic Programming (CGP) is
proposed in which programs are represented by linear integer chromosomes in the form of …

An evolutionary algorithm is used as an engine for discovering new designs of digital
circuits, particularly arithmetic functions. These designs are often radically different from …

Intelligence through simulated evolution | Guide books skip to main content ACM Digital Library
home ACM Association for Computing Machinery corporate logo Google, Inc. (search) …

A major theme in the field of artificial life (ALife) is the emergence of complex behavior fl'om
the interactions of simple elements. Natural life emerges out of the organized interactions of …

This paper explores the use of growth processes, or embryogenies, to map genotypes to
phenotypes within evolutionary systems. Following a summary of the significant features of …

This highly interdisciplinary book discusses the phenomenon of life, including its origin and
evolution, against the background of thermodynamics, statistical mechanics, and information …