'Evolutionary computation' presentation slideshows

Evolutionary Computation: Genetic Algorithms

Evolutionary Computation: Genetic Algorithms. ------------------------------------------------------------------ Copying ideas of Nature Madhu , Natraj , Bhavish and Sanjay. Evolution. Evolution is the change in the inherited traits of a population from one generation to the next.

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CS321 HS 2009 Autonomic Computer Systems Evolutionary Computation I November 17, 2009

Lidia Yamamoto and Manolis Sifalakis University of Basel http://cn.cs.unibas.ch. CS321 HS 2009 Autonomic Computer Systems Evolutionary Computation I November 17, 2009. Overview. Part I (today) Genetic Algorithms (GA) Genetic Programming (GP) Part II (Thursday) Representations

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Graduate Studies in CSE

Graduate Studies in CSE. Murat Yuksel Associate Professor and Graduate Director Dept. of Computer Science & Engineering University of Nevada, Reno yuksem@cse.unr.edu. Outline. FACULTY and STAFF RESEARCH GRADUATE PROGRAMS M.S. in CSE: Options A and B Ph.D. in CSE RULES OTHER INFO.

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Introduction to Evolutionary Computation

Introduction to Evolutionary Computation. Genetic algorithms are inspired by the biological processes of reproduction and natural selection. Natural selection determines which members of a population survive to reproduce, and reproduction ensures that the species will continue.

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NEMSIM: Practical Challenges for Agent-based Simulation of Energy Markets

NEMSIM: Practical Challenges for Agent-based Simulation of Energy Markets. George Grozev and David Batten CSIRO Manufacturing and Infrastructure Technology. Complex Systems Science and CSIRO: Into the Future Rydges Hotel, Melbourne 10-12 August 2005. Presentation Overview.

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Using Interactive Evolution for Exploratory Data Analysis

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Natural Computation and Applications

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Principles of Design and Evolution in Intracellular Signaling Networks

Principles of Design and Evolution in Intracellular Signaling Networks. Jay Mittenthal Dept. of Cell and Structural Biology University of Illinois at Urbana-Champaign. The Cell Net metabolism: protein net: proteins metabolites proteins gene net: cell net:

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Computing in High Energy and Nuclear Physics, 13-17 February 2006, Mumbai, India. High Energy Physics Event Selection. with. Gene Expression Programming. Liliana Teodorescu. Outline. Introduction to evolutionary computation Gene Expression Programming (GEP)

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A review of Particle Swarm Optimization

A review of Particle Swarm Optimization. Jeonghwa Moon Advisor :Andreas A. Linninger 6/21/2006 Laboratory for Product and Process Design, Department of Chemical Engineering, University of Illinois, Chicago, IL 60607, U.S.A. Contents. Particle swarm Optimization Basic Concept

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Supporting Conceptual Design Innovation through Interactive Evolutionary Systems I.C. Parmee

Supporting Conceptual Design Innovation through Interactive Evolutionary Systems I.C. Parmee Advanced Computation in Design and Decision-making CEMS, University of the West of England Bristol, BS16 4QY Email: ian.parmee@uwe.ac.uk

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Approaches for AI ? no specific appr . Tools for AI

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Evolving an Adaptive Digital Filter

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2010. 5. 25 ? ? ?

Distilling Free-Form Natural Laws from Experimental Data Michael Schmidt and Hod Lipson, Science , vol. 324, no. 81, pp. 81-85, April, 2009. 2010. 5. 25 ? ? ?. Outline. Overview of this paper Background & Motivation Algorithm Experiments Conclusion. Overview of This Paper.

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Evolutionary Computation

Module for HON207. Evolutionary Computation. Introduction. This lecture is an introduction to the topic of Evolutionary Computation, but it is not a substitute for the assigned readings We will review key concepts, and we will introduce a few simple models in R. Topics.

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Cooperative Coevolution : An Architecture for Evolving Coadapted Subcomponents

Cooperative Coevolution : An Architecture for Evolving Coadapted Subcomponents. Mitchell A. Potter Kenneth A. De Jong Speaker: Lin, Wei-Kai (2008.12.16). Introduction. To appear in Evolutionary Computation 8(1):1-29, 2000, The MIT Press

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INTRODUCTION TO COMPUTATIONAL INTELLIGENCE

INTRODUCTION TO COMPUTATIONAL INTELLIGENCE . Lin Shang Dept . of Computer Science and Technology Nanjing University. People. Lecturer : SHANG Lin ( shanglin@nju.edu.cn ) TA: LIU Xing () XIE Cheng () Course URL: http://cs.nju.edu.cn/shanglin/ci Time: Thu. 2:00-4:00 pm

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Artificial Speciation and Automatic Modularisation

Artificial Speciation and Automatic Modularisation. Neural Network Ensemble. A group of neural networks is used to solve a problem; each perhaps concentrating on part of the dataset The final output of the ensemble is determined by combining the output of individual NN using: Majority Voting

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ACM SIGEVO SIG on Genetic and Evolutionary Computation

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