Overview

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that serves researchers, scholars, professionals, students, and academicians. Selected topics include: Simulated Annealing, Swarm Optimization Algorithms and Applications + Agent-Based Algorithms Evolutionay Algorithms and Applications + ANN + Forcasting and Time Series Analysis Genetic Algorithms and Applications + Genetic Programming + Dynamic Optimization

Full Product Details

Author:   Hamid R. Arabnia ,  Ray R. Hashemi ,  George Jandieri ,  Ashu M. G. Solo
Publisher:   C. S. R. E. A.
Imprint:   C. S. R. E. A.
Dimensions:   Width: 21.30cm , Height: 0.50cm , Length: 27.10cm
Weight:   0.227kg
ISBN:  

9781601322739

ISBN 10:   1601322739
Pages:   90
Publication Date:   28 February 2015
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

Session: Simulated Annealing, Swarm Optimization Algorithms and Applications + Agent-Based Algorithms 1) A Novel Autoregressive Model for System State Prediction 2) Optimized Path Planning for a Mobile Real Time Location System (mRTLS) in an Emergency Department 3) Direction of Arrival Estimation Using Particle Swarm Optimization-based SPECC 4) Enhancement of Power Quality through Particle Swarm Optimization Session: Evolutionary Algorithms and Applications + Ann + Forecasting and Time Series Analysis 1) Forgetting Beneficial Knowledge in Decomposition-Based Reinforcement Learning Using Evolutionary Computation 2) EvolMusic - A Preference Learning Accompanist 3) Evolution of Event and Delay Controlled Neural Network for Locomotion Session: Genetic Algorithms and Applications + Genetic Programming + Dynamic Optimization 1) The Parallelization of Two Constrained Optimization Problems Using Evolutionary Algorithm 2) Improving the Multi-Restart Local Search Algorithm by Permutation Matrices and Sorted Completion Times for the Flow Shop Scheduling Problem 3) Design of a Pid Control Gains for a Robotic Manipulator under Parametric Uncertainties by Using De-SQP Algorithm 4) Optimal Selection of Milling Parameters for Maximum Profit Rate by Genetic Algorithms

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Author Information

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.

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