Network-based distributed planning using coevolutionary algorithms [[electronic resource] /] / Raj Subbu, Arthur C Sanderson

• Autore: Subbu Raj
• Pubblicazione: River Edge, NJ, : World Scientific, 2004
• Descrizione fisica: 1 online resource (193 p.)
• Disciplina: 004; 005.2/76; 005.276
• Soggetto topico: Electronic data processing - Distributed processing; Algorithms; Intelligent agents (Computer software)
• Altri autori: SandersonA. C (Arthur C.)
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 159-168) and index.
• Nota di contenuto: 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
• Sommario/riassunto: 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
• Titolo autorizzato: Network-based distributed planning using coevolutionary algorithms
• ISBN: 1-281-93474-7; 9786611934743; 981-279-485-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910782119103321
• Lo trovi qui: Univ. Federico II
• Serie: Series in intelligent control and intelligent automation ; ; v. 13.