Network-based distributed planning using coevolutionary algorithms / Raj Subbu, Arthur C Sanderson.

Format:

Book

Thesis/Dissertation

Author/Creator:

Subbu, Raj.

Contributor:

Sanderson, A. C. (Arthur C.)

Series:

Series in intelligent control and intelligent automation ; v. 13.

Series in intelligent control and intelligent automation ; v. 13

Language:

English

Subjects (All):

Electronic data processing--Distributed processing.

Electronic data processing.

Algorithms.

Intelligent agents (Computer software).

Physical Description:

1 online resource (193 p.)

Edition:

1st ed.

Place of Publication:

River Edge, NJ : World Scientific, 2004.

Language Note:

English

Summary:

In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance. A theoretical foundation for this class of coevolutionary algorithms is introduced using techniques from stochastic process theory and mathematical analysis. A case study in distributed, network-based decision-making presents an implementation and detailed evaluation of the coevolutionary decision-making framework that incorporates di

Contents:

Contents ; Foreword ; Preface ; 1. Introduction ; 1.1 Motivation ; 1.2 Approach ; 1.3 Principal Contributions ; 1.4 Book Outline ; 2. Background and Related Work ; 2.1 Collaborative Manufacturing ; 2.1.1 Concurrent Engineering ; 2.1.2 Agile Manufacturing

2.2 Combinatorial Optimization 2.2.1 Deterministic Algorithms ; 2.2.2 Stochastic Algorithms ; 2.3 Evolutionary Algorithms ; 2.3.1 Principal Techniques ; 2.3.2 Theory and Applications ; 2.3.3 Techniques for Constrained Optimization ; 2.3.4 Multi-Node Algorithms

2.3.5 Techniques for Dynamic Environments 2.4 Agents ; 2.5 Distributed Problem Solving ; 3. Problem Formulation and Analysis ; 3.1 Introduction ; 3.2 General Problem Formulation ; 3.2.1 Constraints ; 3.2.2 Objectives ; 3.2.3 Optimization Problem ; 3.2.4 Complexity Analysis

3.3 Printed Circuit Assembly Problem 3.3.1 Complexity Analysis ; 3.4 Algorithm Applicability Analysis ; 3.4.1 Rationale ; 3.4.2 Problem Structure ; 3.4.3 Evaluation of Alternative Algorithms ; 3.4.4 Discussion ; 4. Theory and Analysis of Evolutionary Optimization ; 4.1 Introduction

4.2 Theoretical Foundation 4.2.1 Notation ; 4.2.2 General Algorithm ; 4.2.3 Basic Results ; 4.3 Convergence Analysis ; 4.3.1 Convergence for a Unimodal Objective ; 4.3.2 Convergence for a Bimodal Objective ; 5. Theory and Analysis of Distributed Coevolutionary Optimization

5.1 Introduction

Notes:

Description based upon print version of record.

Based on doctoral research, 1996-2000--Rensselaer Polytechnic Institute.

Includes bibliographical references (p. 159-168) and index.

ISBN:

9786611934743

9781281934741

1281934747

9789812794857

9812794859

OCLC:

879023572