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[null,"1.","Record Nr.",null,"UNINA9910782119103321"]
[null,null,"Autore",null,"Subbu Raj"]
[null,null,"Titolo",null,"Network-based distributed planning using coevolutionary algorithms [[electronic resource] /] / Raj Subbu, Arthur C Sanderson"]
[null,null,"Pubbl/distr/stampa",null,"River Edge, NJ, : World Scientific, 2004"]
[null,null,"ISBN",null,"1-281-93474-7"]
[{"$nulls":4},"9786611934743"]
[{"$nulls":4},"981-279-485-9"]
[null,null,"Descrizione fisica",null,"1 online resource (193 p.)"]
[null,null,"Collana",null,"Series in intelligent control and intelligent automation ; ; v. 13"]
[null,null,"Disciplina",null,"004"]
[{"$nulls":4},"005.2/76"]
[{"$nulls":4},"005.276"]
[null,null,"Soggetti",null,"Electronic data processing - Distributed processing"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Intelligent agents (Computer software)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 159-168) and index."]
[null,null,"Nota di contenuto",null,"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"]
[{"$nulls":4},"2.2 Combinatorial Optimization                                     2.2.1 Deterministic Algorithms                                     ; 2.2.2 Stochastic Algorithms                                  ; 2.3 Evolutionary Algorithms                                  ; 2.3.1 Principal Techniques                                 ; 2.3.2 Theory and Applications                                    ; 2.3.3 Techniques for Constrained Optimization                                                    ; 2.3.4 Multi-Node Algorithms"]
[{"$nulls":4},"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"]
[{"$nulls":4},"3.3 Printed Circuit Assembly Problem                                           3.3.1 Complexity Analysis                                ; 3.4 Algorithm Applicability Analysis                                           ; 3.4.1 Rationale                      ; 3.4.2 Problem Structure                              ; 3.4.3 Evaluation of Alternative Algorithms                                                 ; 3.4.4 Discussion                       ; 4. Theory and Analysis of Evolutionary Optimization                                                          ; 4.1 Introduction"]
[{"$nulls":4},"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"]
[{"$nulls":4},"5.1 Introduction"]
[null,null,null,"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"]