'Evolutionary algorithm' diaporamas de présentation

PPT Primer on Evolutionary Algorithms (also known as Genetic Algorithms)

PPT Primer on Evolutionary Algorithms (also known as Genetic Algorithms). Introduction to Evolutionary Computation. Natural Evolution Search and Optimisation Hillclimbing / Gradient descent Local Search Population-Based Algorithms (i.e. Evolutionary Algorithms)

814 views • 59 slides

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

656 views • 53 slides

A New Evolutionary Approach for the Optimal Communication Spanning Tree Problem

A New Evolutionary Approach for the Optimal Communication Spanning Tree Problem. Sang-Moon Soak Speaker: ???????????????. Outline. OCST problem Evolutionary Algorithm 4 kinds of encodings for the Spanning tree Proposed encodings & evolutionary algorithm design Experiment & conclusion.

637 views • 50 slides

Evolutionary Algorithms

Evolutionary Algorithms. Presented by Muhannad Harrim. Overview. This presentation will provide an overview of evolutionary computation, and describe several evolutionary algorithms that are currently of interest.

697 views • 44 slides

Tutorial 3, Part 1: Optimization of a linear truss structure

Tutorial 3, Part 1: Optimization of a linear truss structure. Truss structure. Optimization goal is to minimize the mass of the structure (initial mass is 8393 lbs) Maximum stress is 25000 psi (limit stress=40166/global safety factor=1.6) Maximum displacement is 20 in

583 views • 42 slides

Nature-Inspired Computation General Intro to the Course and Intro to Evolutionary Algorithms

Nature-Inspired Computation General Intro to the Course and Intro to Evolutionary Algorithms. David Corne Martyn Amos Pier Frisco. What Nature-Inspired Computation is. Pattern recognition techniques based (loosely) on how brains and nervous systems work

522 views • 35 slides

A New Metaheuristic for Optimization: Optics Inspired Optimization (OIO)

A New Metaheuristic for Optimization: Optics Inspired Optimization (OIO). By: Dr. A. H. Kashan. Introduction. Since the 1970s that the idea of a general algorithmic framework, which can be applied with relatively few modifications to different optimization problems , emerged.

692 views • 33 slides

EL736 Communications Networks II: Design and Algorithms

EL736 Communications Networks II: Design and Algorithms. Class6: Optimization Methods (II) Yong Liu 10/17/2007. Outline. AMPL/CPLEX Package introduction example Stochastic Methods Local Search Simulated Annealing Evolutionary Algorithms Simulated Allocation.

379 views • 30 slides

Evolutionary Algorithms

624 views • 29 slides

Evolving Local Search Heuristics for SAT Using Genetic Programming

Evolving Local Search Heuristics for SAT Using Genetic Programming. Alex Fukunaga Computer Science Department University of California, Los Angeles. Outline. Satisfiability testing Local search for SAT CLASS: A GP system for discovering SAT local search heuristics

442 views • 28 slides

394 views • 28 slides

A Genetic Algorithm with Injecting Artificial Chromosomes for Single Machine Scheduling Problems

A Genetic Algorithm with Injecting Artificial Chromosomes for Single Machine Scheduling Problems. Contents. Evolutionary Algorithm with Probability Models. Introduction. Single Machine Scheduling (Ei+Ti). Problem Statement. Injecting Artificial Chromosome. Methodology.

429 views • 28 slides

Bi-directional incremental evolution

Bi-directional incremental evolution. Dr Tatiana Kalganova Electronic and Computer Engineering Dept. Bio-Inspired Intelligent Systems Group Brunel University. Outline. Evolutionary process Evolvable hardware Bi-directional incremental evolution: basic concept

430 views • 27 slides

Soft Computing

776 views • 23 slides

Computational Intelligence in Games: An Overview

Computational Intelligence in Games: An Overview . Zahid Halim Faculty of Computer Science and Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi . zahid.halim@giki.edu.pk. Layout. What is AI/CI and ML Why Computer Games? How CI helps computer Games?

294 views • 19 slides

An evolutionary Monte Carlo algorithm for predicting DNA hybridization

262 views • 18 slides

Soft Computing Lab. Yongjun Kim

Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots ( Neurocomputing 2009). Dario Maravall , Javier de Lope, Jose Antonio Martin H. Soft Computing Lab. Yongjun Kim. 7 th May, 2009. Outline. Introduction

330 views • 18 slides

CS440 Computer Science Seminar

CS440 Computer Science Seminar. Introduction to Evolutionary Computing. Adaptation to environment. Traveling salesman problem. A salesperson must visit clients in different cities, and then return home. What is the shortest tour through those cities, visiting each one once and only once?

232 views • 15 slides

207 views • 12 slides

Sparse Degrees Analysis for LT Codes Optimization

Sparse Degrees Analysis for LT Codes Optimization. Pei- Chuan Tsai Chih -Ming Chen Ying-ping Chen WCCI 2012 IEEE World Congress on Computational Intelligence. Outline . Introduction Probability reallocation Selection function for sparse tags Experiment result. Introduction.

272 views • 11 slides