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Robust Design for Evolutionary Synthetic Gene Networks Under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space by Chen PhD, Bor-Sen is a scholarly article available to read on EtoBox.

What is Robust Design for Evolutionary Synthetic Gene Networks Under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space about?

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience. Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective Discusses the evolutionary noncooperative and cooperative game strategies of biological networks Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks Includes example

Author

Chen PhD, Bor-Sen

Publisher

Academic Press, an imprint of Elsevier

Published

2018

Language

EN

ISBN

9780128140727