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Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Lei Fang Xi'an Jiaotong-Liverpool University, China Sheng-Uei Guan Xi'an
Jiaotong-Liverpool University, China Haofan Zhang Xi'an Jiaotong-Liverpool
University, China ABSTRACT Rule-based Genetic Algorithms (GAs) have been
used in ...

Principal Concepts in Applied Evolutionary Computation: Emerging Trends

Emerging Trends

Increasingly powerful and diverse computing technologies have the potential to tackle ever greater and more complex problems and dilemmas in engineering and science disciplines. Principal Concepts in Applied Evolutionary Computation: Emerging Trends provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution. Academics and practicing field professionals will find this reference useful as they break into the emerging and complex world of evolutionary computation, learning to harness and utilize this exciting new interdisciplinary field.

This book contains articles from the four issues of Volume 1 of the International
Journal of Applied Evolutionary Computation (IJAEC). As mentioned in journal's
description, this book reflects the journal's mission of publishing high-quality ...