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Comp3330_w05_ec.pdf

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SCHOOL of ELECTRICAL ENGINEERING & COMPUTER SCIENCE FACULTY of ENGINEERING & BUILT ENVIRONMENT The UNIVERSITY of NEWCASTLE Comp3330/6380 Machine Intelligence Course Coordinator: A/Prof. Stephan Chalup Semester 1, 2014 1 LECTURE 5 Introduction to Evolutionary Computation April 8, 2014 2 OVERVIEW Aims of this Lecture 6 Introduction 7 Literature and Software . . . . . . . . . . . . . . . . . . 8 Basic Features of Evolutionary Systems . . . . . . . 9 Representation of Organisms . . . . .
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  SCHOOL of ELECTRICAL ENGINEERING & COMPUTER SCIENCEFACULTY of ENGINEERING & BUILT ENVIRONMENTThe UNIVERSITY of NEWCASTLE Comp3330/6380 Machine Intelligence Course Coordinator: A/Prof. Stephan ChalupSemester 1, 2014 1  LECTURE 5 Introduction toEvolutionary Computation April 8, 2014 2  OVERVIEWAims of this Lecture 6Introduction 7Literature and Software  . . . . . . . . . . . . . . . . . .  8 Basic Features of Evolutionary Systems  . . . . . . .  9 Representation of Organisms  . . . . . . . . . . . . . . .  10 Areas of Evolutionary Computation 11The Human Genome 12Genetic Algorithms (GA) 13Genetic Operators  . . . . . . . . . . . . . . . . . . . . . .  20 How a Simple GA Works  . . . . . . . . . . . . . . . . .  33 3  Modes of Learning in Natural Evolution 35EC + ANN 38EC + ANN Systems  . . . . . . . . . . . . . . . . . . . . .  39 Evolutionary Programming (EP) 40Three Steps of Basic EP  . . . . . . . . . . . . . . . . . .  41 Differences between GAs, EP.  . . . . . . . . . . . . . .  42 Evolution Strategies 43Simulated Annealing  . . . . . . . . . . . . . . . . . . . .  46 Differences between EP and ES  . . . . . . . . . . . .  47 Genetic Programming (GP) 48Applications of EAs 49 4
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