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Ch.6 Beyond Reactive Intelligence

Ch.6 Beyond Reactive Intelligence

2007. 01. 16 RIT Lab. Yehoon Kim Ch.6 Beyond Reactive Intelligence Contents Introduction Evolving a Garbage Collection Robot Robots with an Internal Dynamics Re-adaptation to Layout Variations Emergence of Complex Behaviors Conclusion Introduction

By liam
(339 views)

Lecture 8: Genetic Algorithms

Lecture 8: Genetic Algorithms

Lecture 8: Genetic Algorithms. Contents : Miming nature The steps of the algorithm Coosing parents Reproduction Mutation Deeper in GA Stochastic Universal Selection Elitarism Steady State. Miming Nature. Some considerations on evolution of organisms:

By omer
(160 views)

Algorithms for Smoothing Array CGH data

Algorithms for Smoothing Array CGH data

Algorithms for Smoothing Array CGH data. Kees Jong (VU, CS and Mathematics) Elena Marchiori (VU, Computer Science) Aad van der Vaart (VU, Mathematics) Gerrit Meijer (VUMC) Bauke Ylstra (VUMC) Marjan Weiss (VUMC). Tumor Cell. Chromosomes of tumor cell:. CGH Data .  C o p y #.

By sydnee
(287 views)

Genetic Algorithms

Genetic Algorithms

Genetic Algorithms. Solving by evolving. Pawel Drozdowski – November 2012. Agenda. Introduction GA basics Solving simple problem GA more advanced topics Solving complex problem Question and Answers. Introduction. Evolution.

By precious
(143 views)

Competitive Relative Performance Evaluation of Neural Controllers for Competitive Game Playing With Teams of Real Mobile

Competitive Relative Performance Evaluation of Neural Controllers for Competitive Game Playing With Teams of Real Mobile

CRIM. Competitive Relative Performance Evaluation of Neural Controllers for Competitive Game Playing With Teams of Real Mobile Robots. A. L. Nelson and E. Grant Center for Robotics and Intelligent Machines Department of Electrical and Computer Engineering North Carolina State University

By althea
(106 views)

Optimal Path Planning for Mobile Robot-Trailer Systems

Optimal Path Planning for Mobile Robot-Trailer Systems

Optimal Path Planning for Mobile Robot-Trailer Systems. Team 22: Siwei Wang Xin Yu Xi Li. Outline of Project. Introduction of project (mainly on task description, approach) Explain on GA & Dubins Path. Explain how to group the waypoints, analysis on the experiment.

By clarimonde
(124 views)

Forest Planning Using PSO with a priority representation

Forest Planning Using PSO with a priority representation

Nature-Inspired Optimization. Forest Planning Using PSO with a priority representation. P.W. Brooks and W.D. Potter Institute for Artificial Intelligence, University of Georgia, USA. Nature-Inspired Optimization. Overview. Background: (NIO Project 1 ) PSO -- GA -- EO -- RO

By hunter
(134 views)

Improved Fitness Functions for Automated Program Repair

Improved Fitness Functions for Automated Program Repair

Improved Fitness Functions for Automated Program Repair. Zachary P. Fry. Improved Fitness Functions. Automatic program repair can fix bugs. GenProg. Bugs. Fixes. Improved Fitness Functions. Automatic program repair can fix bugs. GenProg. Bugs. Fixes. Fitness Functions.

By osborn
(118 views)

Ant Colony Optimization and its Potential in Data Mining

Ant Colony Optimization and its Potential in Data Mining

Ant Colony Optimization and its Potential in Data Mining. By Ben Degler. Overview. Ant Colony Optimization How it works Data Mining Classification Clustering. Ant Colony Optimization (ACO). Introduced in early 1990’s Social Insects Swarm Intelligence

By magnar
(237 views)

Genetic Algorithms

Genetic Algorithms

Genetic Algorithms. CIS 488/588 Bruce R. Maxim UM-Dearborn. Genetic Algorithms. What are they? Evolutionary algorithms that make use of operations like mutation, recombination, and selection Uses? Difficult search problems Optimization problems Machine learning Adaptive rule-bases.

By kitra
(177 views)

Genetic Programming System for Music Generation

Genetic Programming System for Music Generation

Genetic Programming System for Music Generation. With Automated Fitness Raters. What is Genetic Programming(GP)?. a n evolutionary algorithm-based methodology inspired by biological evolution New generation of solutions created from previous generations Three Steps:

By badru
(154 views)

Evolutionary Algorithms

Evolutionary Algorithms

Evolutionary Algorithms. Evolutionary Computation/Algorithms Genetic Algorithms. Simulate “natural” evolution of structures via selection and reproduction, based on performance (fitness)

By cullen
(230 views)

Using Matlab Global Optimization Toolbox for Genetic Algorithms

Using Matlab Global Optimization Toolbox for Genetic Algorithms

Using Matlab Global Optimization Toolbox for Genetic Algorithms. Ranga Rodrigo April 6, 2014 Most of the sides are from the Matlab tutorial. Introduction. Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima.

By gerek
(997 views)

Design of Antennas for UHF RFID Tags

Design of Antennas for UHF RFID Tags

Design of Antennas for UHF RFID Tags. Proceedings of the IEEE (Volume:100 , Issue: 7 ) RFID Virtual Journal, IEEE2012.07. By Etienne Perret , Member IEEE, Smail Tedjini , Senior Member IEEE, and Raji Sasidharan Nair, Student Member IEEE. Presenter: Yen-Po Chen

By myra
(288 views)

Distributed Genetic Algorithm for feature selection in Gaia RVS spectra

Distributed Genetic Algorithm for feature selection in Gaia RVS spectra

Distributed Genetic Algorithm for feature selection in Gaia RVS spectra. Application to ANN parameterization. D.Fustes , D.Ordóñez , C.Dafonte , M.Manteiga and B. Arcay. Introduction.

By cachet
(89 views)

A Parallel Genetic Algorithm FOR Predictive Job Scheduling

A Parallel Genetic Algorithm FOR Predictive Job Scheduling

A Parallel Genetic Algorithm FOR Predictive Job Scheduling. By: Amseena Mansoor Rayan Alsemmeari. Introduction. Literature survey Why does Genetic Algorithm work? Parallel Genetic Algorithm Predictive Job Scheduling System Conclusion. Literature Survey. Types of scheduling:

By franz
(97 views)

CSM6120 Introduction to Intelligent Systems

CSM6120 Introduction to Intelligent Systems

CSM6120 Introduction to Intelligent Systems. Evolutionary and Genetic Algorithms. Informal biological terminology. Genes Encoding rules that describe how an organism is built up from the tiny building blocks of life Chromosomes Long strings formed by connecting genes together Recombination

By amable
(115 views)

Genetic Algorithms

Genetic Algorithms

Genetic Algorithms. MSE 2400 EaLiCaRA Spring 2014 Dr. Tom Way. Evolution – Darwin’s Natural Selection. IF there are organisms that reproduce, and IF offspring inherit traits from their progenitors, and IF there is variability of traits, and

By rozene
(84 views)

FEUP | PDEEC | Decision Support

FEUP | PDEEC | Decision Support

Populational Metaheuristics Genetic Algorithm. Group 1: Clara Gouveia Daniel Oliveira [Presenter ] Fabrício Sperandio Filipe Sousa. FEUP | PDEEC | Decision Support. January 17 th , 2011. Populational Metaheuristics: Genetic Algorithm. Outline.

By penha
(68 views)

Mahmoud S. Hamid, Neal R. Harvey, and Stephen Marshall

Mahmoud S. Hamid, Neal R. Harvey, and Stephen Marshall

Genetic Algorithm Optimization of Multidimensional Grayscale Soft Morphological Filters With Applications in Film Archive Restoration. Mahmoud S. Hamid, Neal R. Harvey, and Stephen Marshall IEEE Transactions on Circuits and Systems for Video Technology, 2003. Outline. Introduction

By dillon
(102 views)

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