Real-World Applications of Evolutionary Computing

Real-World Applications of Evolutionary Computing

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The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.Unlike existing manual or convex optimisation based QFT design approaches, the a#39;intelligenta#39; evolutionary technique is capable ... which is particularly useful for unstable or non-minimum phase plants for which stabilising controllers maybe difficult to be ... 1. Introduction. Quantitative Feedback Theory (QFT) is well-known as an efficient frequency domain controller design ... i, j = 1, 2, ..., m for an m input and m output control problem, the solution of the first set of MISO problem is the firstanbsp;...

Title:Real-World Applications of Evolutionary Computing
Author: Stefano Cagnoni
Publisher:Springer Science & Business Media - 2000-03-29

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