Provides efficient Computational Problem Solving Techniques that require small computer memory
Offers a thorough computational approach to the problem
Provides the pseudo code for all computational methods used in the book so readers can adopt the code in their own problems
The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.
Dual Phase Evolution.- Network Theory.- Problem Solving and Evolutionary Computation.- DPE for Network Generation.- DPE Networks and Evolutionary Dynamics.- DPE for Problem Solving.- Conclusion and Future Work.
This book explains how dual phase evolution operates in all these settings and provides a detailed treatment of the subject. The authors discuss the theoretical foundations for the theory, how it relates to other phase transition phenomena and its advantages in evolutionary computation and complex adaptive systems. The book provides methods and techniques to use this concept for problem solving. Dual phase evolution concerns systems that evolve via repeated phase shifts in the connectivity of their elements. It occurs in vast range of settings, including natural systems (species evolution, landscape ecology, geomorphology), socio-economic systems (social networks) and in artificial systems (annealing, evolutionary computing).
This book explores the concept of dual phase evolution, focusing on the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems.
Inhaltsverzeichnis
Dual Phase Evolution.- Network Theory.- Problem Solving and Evolutionary Computation.- DPE for Network Generation.- DPE Networks and Evolutionary Dynamics.- DPE for Problem Solving.- Conclusion and Future Work.
Klappentext
The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.
Provides efficient Computational Problem Solving Techniques that require small computer memory
Offers a thorough computational approach to the problem
Provides the pseudo code for all computational methods used in the book so readers can adopt the code in their own problems
