Solutions to Parallel and Distributed

* Applying neural networks for problem solving in wireless communication systems

ALBERT Y. ZOMAYA, PhD, is a professor at the University of Western Australia, Perth, Australia.<BR>

Contributors

ix

Preface

xi

Distributed Cellular Automata: Large-Scale Simulation of Natural Phenomena

1

(46)

P. M. A. Sloot

J. A. Kaandorp

A. G. Hoekstra

B. J. Overeinder

Introduction

1

(3)

Background of Cellular Automata Concepts

4

(8)

Execution Models for Cellular Automata

12

(5)

Cellular Automata as Models for Fluid Flow

17

(8)

Selected Applications

25

(16)

Summary

41

(6)

Parallel Implementations of Evolutionary Algorithms

47

(22)

Hartmut Schmeck

Jurgen Branke

Udo Kohlmorgen

Introduction

47

(1)

Standard Approaches to Parallelizing Evolutionary Algorithms

48

(6)

Parallel Global Selection

54

(2)

Setup for Experimental Investigation

56

(2)

Test Problems

58

(2)

Discussion of Results

60

(6)

Summary

66

(3)

Toward Hybrid Biologically Inspired Heuristics

69

(18)

El-Ghazali Talbi

Introduction

69

(1)

Design Issues

70

(8)

Implementation Issues

78

(2)

A Grammar for Extended Hybridization Schemes

80

(2)

Summary

82

(5)

Nature-Inspired Optimization Algorithms for Parallel Simulations

87

(24)

Azzedine Boukerche

Sajal K. Das

Introduction

87

(1)

What Is Parallel Simulation?

88

(3)

Previous and Related Work

91

(2)

Simulated Annealing: Conservative Partitioning

93

(5)

Genetic Algorithm: Optimistic Load Balancing

98

(4)

Stochastic Learning Automata

102

(4)

Summary

106

(5)

An Introduction to Genetic-Based Scheduling in Parallel Processor Systems

111

(24)

Albert Y. Zomaya

Richard C. Lee

Stephan Olariu

Introduction

111

(1)

Task Scheduling and Problem Formulation

112

(7)

The Proposed Approach

119

(9)

Case Studies

128

(3)

Summary

131

(4)

Mapping Tasks onto Distributed Heterogeneous Computing Systems Using a Genetic Algorithm Approach

135

(44)

Mitchell D. Theys

Tracy D. Braun

Yu-Kwong Kwok

Howard Jay Siegel

Anthony A. Maciejewski

Introduction

135

(2)

Problem Descriptions

137

(3)

Genetic Algorithm Overview

140

(1)

Static Matching and Scheduling of Subtasks

141

(15)

Semistatic Matching and Scheduling of Subtasks

156

(9)

Static Matching and Scheduling for Meta-Tasks

165

(9)

Summary

174

(5)

Evolving Cellular Automata-Based Algorithms for Multiprocessor Scheduling

179

(30)

F. Seredynski

Introduction

179

(1)

Multiprocessor Scheduling

180

(2)

Cellular Automata

182

(3)

The Concept of the CA-Based Scheduler

185

(2)

Defining Local Neighborhood

187

(6)

CA-Based Scheduler

193

(2)

Experiments

195

(10)

Summary

205

(4)

Parallel Task Mapping with Biological Computing Models

209

(22)

Tarek El-Ghazawi

Ophir Frieder

Jaafar Gaber

Salim Alaoui

Introduction

209

(1)

The Task-Mapping Problem

210

(1)

Genetic Algorithms

211

(3)

Parallel Genetic Algorithms

214

(2)

Task Mapping with Genetic Algorithms

216

(6)

Discussion

222

(1)

Task Mapping with Neural Networks

223

(5)

Summary

228

(3)

Scheduling Parallel Programs Using Genetic Algorithms

231

(24)

Ishraq Ahmad

Yu-Kwong Kwok

Imtiaz Ahmad

Muhammad Dhodhi

Introduction

231

(2)

Static Scheduling of Parallel Programs to Message-Passing Architectures

233

(5)

Overview of Genetic Algorithms

238

(1)

Scheduling Tasks to a Homogeneous System

239

(6)

Scheduling Tasks to a Heterogeneous System

245

(7)

Summary

252

(3)

Applications of Neural Networks to Mobile Communication Systems

255

(14)

Azzedine Boukerche

Mirela Sechi M. Notare

Introduction

255

(1)

Neural-Network Definition

256

(2)

Adaptive Equalizer for Digital Mobile-Radio Channels

258

(2)

Channel Assignment in Mobile-Radio Systems

260

(1)

Neural Networks Applied to the Channel-Assignment Problem

261

(1)

GSM Radio Resource~Management

261

(1)

Neural Fraud Detection in Mobile-Phone Systems

262

(4)

Summary

266

(3)

Index

269

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Solutions to Parallel and Distributed Computing Problems Lessons from Biological Sciences

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Table of Contents

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