Evolutionary algorithms . volume 9 / / Alain Pétrowski, Sana Ben-Hamida |
Autore | Pétrowski Alain |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, [New Jersey] : , : ISTE : , : Wiley, , 2017 |
Descrizione fisica | 1 online resource (261 pages) |
Disciplina | 519.7 |
Collana |
Metaheuristics Set.
THEi Wiley ebooks. |
Soggetto topico | Genetic algorithms |
ISBN |
1-119-13638-5
1-119-13641-5 1-119-13637-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910825555203321 |
Pétrowski Alain
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London, [England] ; ; Hoboken, [New Jersey] : , : ISTE : , : Wiley, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary Algorithms / / Eisuke Kita, editor |
Pubbl/distr/stampa | Rijeka, Croatia : , : IntechOpen, , [2011] |
Descrizione fisica | 1 online resource (598 pages) : illustrations |
Disciplina | 519.7 |
Soggetto topico | Genetic algorithms |
ISBN | 953-51-4493-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910138409003321 |
Rijeka, Croatia : , : IntechOpen, , [2011] | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms for food science and technology / / Evelyne Lutton, Nathalie Perrot, Alberto Tonda |
Autore | Lutton Evelyne |
Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016 |
Descrizione fisica | 1 online resource (187 pages) : illustrations |
Disciplina | 006.336 |
Collana | Metaheuristics Set |
Soggetto topico |
Evolutionary programming (Computer science)
Genetic algorithms Food industry and trade - Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-13684-9
1-119-13683-0 1-119-13682-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910153179503321 |
Lutton Evelyne
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London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms for food science and technology / / Evelyne Lutton, Nathalie Perrot, Alberto Tonda |
Autore | Lutton Evelyne |
Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016 |
Descrizione fisica | 1 online resource (187 pages) : illustrations |
Disciplina | 006.336 |
Collana | Metaheuristics Set |
Soggetto topico |
Evolutionary programming (Computer science)
Genetic algorithms Food industry and trade - Data processing |
ISBN |
1-119-13684-9
1-119-13683-0 1-119-13682-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910831065003321 |
Lutton Evelyne
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London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms for mobile ad hoc networks / / Bernabe Dorronsoro, University of Luxembourg, Patricia Ruiz, University of Luxembourg, Gregoire Danoy, University of Luxembourg, Yoann Pigne, University of Le Havre, Pascal Bouvry, University of Luxembourg |
Autore | Dorronsoro Bernabé |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Computer society, IEEE, Wiley, , [2014] |
Descrizione fisica | 1 online resource (238 p.) |
Disciplina | 621.382/1201519625 |
Collana | Nature-inspired computing series |
Soggetto topico |
Mobile communication systems
Evolutionary computation Genetic algorithms |
ISBN |
1-118-83202-7
1-118-83320-1 1-118-83201-9 |
Classificazione | COM051300 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface xiii -- PART I BASIC CONCEPTS AND LITERATURE REVIEW 1 -- 1 INTRODUCTION TO MOBILE AD HOC NETWORKS 3 -- 1.1 Mobile Ad Hoc Networks 6 -- 1.2 Vehicular Ad Hoc Networks 9 -- 1.2.1 Wireless Access in Vehicular Environment (WAVE) 11 -- 1.2.2 Communication Access for Land Mobiles (CALM) 12 -- 1.2.3 C2C Network 13 -- 1.3 Sensor Networks 14 -- 1.3.1 IEEE 1451 17 -- 1.3.2 IEEE 802.15.4 17 -- 1.3.3 ZigBee 18 -- 1.3.4 6LoWPAN 19 -- 1.3.5 Bluetooth 19 -- 1.3.6 Wireless Industrial Automation System 20 -- 1.4 Conclusion 20 -- References 21 -- 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS 27 -- 2.1 Optimization Basics 28 -- 2.2 Evolutionary Algorithms 29 -- 2.3 Basic Components of Evolutionary Algorithms 32 -- 2.3.1 Representation 32 -- 2.3.2 Fitness Function 32 -- 2.3.3 Selection 32 -- 2.3.4 Crossover 33 -- 2.3.5 Mutation 34 -- 2.3.6 Replacement 35 -- 2.3.7 Elitism 35 -- 2.3.8 Stopping Criteria 35 -- 2.4 Panmictic Evolutionary Algorithms 36 -- 2.4.1 Generational EA 36 -- 2.4.2 Steady-State EA 36 -- 2.5 Evolutionary Algorithms with Structured Populations 36 -- 2.5.1 Cellular EAs 37 -- 2.5.2 Cooperative Coevolutionary EAs 38 -- 2.6 Multi-Objective Evolutionary Algorithms 39 -- 2.6.1 Basic Concepts in Multi-Objective Optimization 40 -- 2.6.2 Hierarchical Multi-Objective Problem Optimization 42 -- 2.6.3 Simultaneous Multi-Objective Problem Optimization 43 -- 2.7 Conclusion 44 -- References 45 -- 3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS 49 -- 3.1 Taxonomy of the Optimization Process 51 -- 3.1.1 Online and Offline Techniques 51 -- 3.1.2 Using Global or Local Knowledge 52 -- 3.1.3 Centralized and Decentralized Systems 52 -- 3.2 State of the Art 53 -- 3.2.1 Topology Management 53 -- 3.2.2 Broadcasting Algorithms 58 -- 3.2.3 Routing Protocols 59 -- 3.2.4 Clustering Approaches 63 -- 3.2.5 Protocol Optimization 64 -- 3.2.6 Modeling the Mobility of Nodes 65 -- 3.2.7 Selfish Behaviors 66 -- 3.2.8 Security Issues 67 -- 3.2.9 Other Applications 67 -- 3.3 Conclusion 68 -- References 69.
4 MOBILE NETWORKS SIMULATION 79 -- 4.1 Signal Propagation Modeling 80 -- 4.1.1 Physical Phenomena 81 -- 4.1.2 Signal Propagation Models 85 -- 4.2 State of the Art of Network Simulators 89 -- 4.2.1 Simulators 89 -- 4.2.2 Analysis 92 -- 4.3 Mobility Simulation 93 -- 4.3.1 Mobility Models 93 -- 4.3.2 State of the Art of Mobility Simulators 96 -- 4.4 Conclusion 98 -- References 98 -- PART II PROBLEMS OPTIMIZATION 105 -- 5 PROPOSED OPTIMIZATION FRAMEWORK 107 -- 5.1 Architecture 108 -- 5.2 Optimization Algorithms 110 -- 5.2.1 Single-Objective Algorithms 110 -- 5.2.2 Multi-Objective Algorithms 115 -- 5.3 Simulators 121 -- 5.3.1 Network Simulator: ns-3 121 -- 5.3.2 Mobility Simulator: SUMO 123 -- 5.3.3 Graph-Based Simulations 126 -- 5.4 Experimental Setup 127 -- 5.5 Conclusion 131 -- References 131 -- 6 BROADCASTING PROTOCOL 135 -- 6.1 The Problem 136 -- 6.1.1 DFCN Protocol 136 -- 6.1.2 Optimization Problem Definition 138 -- 6.2 Experiments 140 -- 6.2.1 Algorithm Configurations 140 -- 6.2.2 Comparison of the Performance of the Algorithms 141 -- 6.3 Analysis of Results 142 -- 6.3.1 Building a Representative Subset of Best Solutions 143 -- 6.3.2 Interpretation of the Results 145 -- 6.3.3 Selected Improved DFCN Configurations 148 -- 6.4 Conclusion 150 -- References 151 -- 7 ENERGY MANAGEMENT 153 -- 7.1 The Problem 154 -- 7.1.1 AEDB Protocol 154 -- 7.1.2 Optimization Problem Definition 156 -- 7.2 Experiments 159 -- 7.2.1 Algorithm Configurations 159 -- 7.2.2 Comparison of the Performance of the Algorithms 160 -- 7.3 Analysis of Results 161 -- 7.4 Selecting Solutions from the Pareto Front 164 -- 7.4.1 Performance of the Selected Solutions 167 -- 7.5 Conclusion 170 -- References 171 -- 8 NETWORK TOPOLOGY 173 -- 8.1 The Problem 175 -- 8.1.1 Injection Networks 175 -- 8.1.2 Optimization Problem Definition 176 -- 8.2 Heuristics 178 -- 8.2.1 Centralized 178 -- 8.2.2 Distributed 179 -- 8.3 Experiments 180 -- 8.3.1 Algorithm Configurations 180 -- 8.3.2 Comparison of the Performance of the Algorithms 180. 8.4 Analysis of Results 183 -- 8.4.1 Analysis of the Objective Values 183 -- 8.4.2 Comparison with Heuristics 185 -- 8.5 Conclusion 187 -- References 188 -- 9 REALISTIC VEHICULAR MOBILITY 191 -- 9.1 The Problem 192 -- 9.1.1 Vehicular Mobility Model 192 -- 9.1.2 Optimization Problem Definition 196 -- 9.2 Experiments 199 -- 9.2.1 Algorithms Configuration 199 -- 9.2.2 Comparison of the Performance of the Algorithms 200 -- 9.3 Analysis of Results 202 -- 9.3.1 Analysis of the Decision Variables 202 -- 9.3.2 Analysis of the Objective Values 204 -- 9.4 Conclusion 206 -- References 206 -- 10 SUMMARY AND DISCUSSION 209 -- 10.1 A New Methodology for Optimization in Mobile Ad Hoc Networks 211 -- 10.2 Performance of the Three Algorithmic Proposals 213 -- 10.2.1 Broadcasting Protocol 213 -- 10.2.2 Energy-Efficient Communications 214 -- 10.2.3 Network Connectivity 214 -- 10.2.4 Vehicular Mobility 215 -- 10.3 Global Discussion on the Performance of the Algorithms 215 -- 10.3.1 Single-Objective Case 216 -- 10.3.2 Multi-Objective Case 217 -- 10.4 Conclusion 218 -- References 218 -- INDEX 221. |
Record Nr. | UNINA-9910139130603321 |
Dorronsoro Bernabé
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Hoboken, New Jersey : , : Computer society, IEEE, Wiley, , [2014] | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms for mobile ad hoc networks / / Bernabe Dorronsoro, University of Luxembourg, Patricia Ruiz, University of Luxembourg, Gregoire Danoy, University of Luxembourg, Yoann Pigne, University of Le Havre, Pascal Bouvry, University of Luxembourg |
Autore | Dorronsoro Bernabé |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Computer society, IEEE, Wiley, , [2014] |
Descrizione fisica | 1 online resource (238 p.) |
Disciplina | 621.382/1201519625 |
Collana | Nature-inspired computing series |
Soggetto topico |
Mobile communication systems
Evolutionary computation Genetic algorithms |
ISBN |
1-118-83202-7
1-118-83320-1 1-118-83201-9 |
Classificazione | COM051300 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface xiii -- PART I BASIC CONCEPTS AND LITERATURE REVIEW 1 -- 1 INTRODUCTION TO MOBILE AD HOC NETWORKS 3 -- 1.1 Mobile Ad Hoc Networks 6 -- 1.2 Vehicular Ad Hoc Networks 9 -- 1.2.1 Wireless Access in Vehicular Environment (WAVE) 11 -- 1.2.2 Communication Access for Land Mobiles (CALM) 12 -- 1.2.3 C2C Network 13 -- 1.3 Sensor Networks 14 -- 1.3.1 IEEE 1451 17 -- 1.3.2 IEEE 802.15.4 17 -- 1.3.3 ZigBee 18 -- 1.3.4 6LoWPAN 19 -- 1.3.5 Bluetooth 19 -- 1.3.6 Wireless Industrial Automation System 20 -- 1.4 Conclusion 20 -- References 21 -- 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS 27 -- 2.1 Optimization Basics 28 -- 2.2 Evolutionary Algorithms 29 -- 2.3 Basic Components of Evolutionary Algorithms 32 -- 2.3.1 Representation 32 -- 2.3.2 Fitness Function 32 -- 2.3.3 Selection 32 -- 2.3.4 Crossover 33 -- 2.3.5 Mutation 34 -- 2.3.6 Replacement 35 -- 2.3.7 Elitism 35 -- 2.3.8 Stopping Criteria 35 -- 2.4 Panmictic Evolutionary Algorithms 36 -- 2.4.1 Generational EA 36 -- 2.4.2 Steady-State EA 36 -- 2.5 Evolutionary Algorithms with Structured Populations 36 -- 2.5.1 Cellular EAs 37 -- 2.5.2 Cooperative Coevolutionary EAs 38 -- 2.6 Multi-Objective Evolutionary Algorithms 39 -- 2.6.1 Basic Concepts in Multi-Objective Optimization 40 -- 2.6.2 Hierarchical Multi-Objective Problem Optimization 42 -- 2.6.3 Simultaneous Multi-Objective Problem Optimization 43 -- 2.7 Conclusion 44 -- References 45 -- 3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS 49 -- 3.1 Taxonomy of the Optimization Process 51 -- 3.1.1 Online and Offline Techniques 51 -- 3.1.2 Using Global or Local Knowledge 52 -- 3.1.3 Centralized and Decentralized Systems 52 -- 3.2 State of the Art 53 -- 3.2.1 Topology Management 53 -- 3.2.2 Broadcasting Algorithms 58 -- 3.2.3 Routing Protocols 59 -- 3.2.4 Clustering Approaches 63 -- 3.2.5 Protocol Optimization 64 -- 3.2.6 Modeling the Mobility of Nodes 65 -- 3.2.7 Selfish Behaviors 66 -- 3.2.8 Security Issues 67 -- 3.2.9 Other Applications 67 -- 3.3 Conclusion 68 -- References 69.
4 MOBILE NETWORKS SIMULATION 79 -- 4.1 Signal Propagation Modeling 80 -- 4.1.1 Physical Phenomena 81 -- 4.1.2 Signal Propagation Models 85 -- 4.2 State of the Art of Network Simulators 89 -- 4.2.1 Simulators 89 -- 4.2.2 Analysis 92 -- 4.3 Mobility Simulation 93 -- 4.3.1 Mobility Models 93 -- 4.3.2 State of the Art of Mobility Simulators 96 -- 4.4 Conclusion 98 -- References 98 -- PART II PROBLEMS OPTIMIZATION 105 -- 5 PROPOSED OPTIMIZATION FRAMEWORK 107 -- 5.1 Architecture 108 -- 5.2 Optimization Algorithms 110 -- 5.2.1 Single-Objective Algorithms 110 -- 5.2.2 Multi-Objective Algorithms 115 -- 5.3 Simulators 121 -- 5.3.1 Network Simulator: ns-3 121 -- 5.3.2 Mobility Simulator: SUMO 123 -- 5.3.3 Graph-Based Simulations 126 -- 5.4 Experimental Setup 127 -- 5.5 Conclusion 131 -- References 131 -- 6 BROADCASTING PROTOCOL 135 -- 6.1 The Problem 136 -- 6.1.1 DFCN Protocol 136 -- 6.1.2 Optimization Problem Definition 138 -- 6.2 Experiments 140 -- 6.2.1 Algorithm Configurations 140 -- 6.2.2 Comparison of the Performance of the Algorithms 141 -- 6.3 Analysis of Results 142 -- 6.3.1 Building a Representative Subset of Best Solutions 143 -- 6.3.2 Interpretation of the Results 145 -- 6.3.3 Selected Improved DFCN Configurations 148 -- 6.4 Conclusion 150 -- References 151 -- 7 ENERGY MANAGEMENT 153 -- 7.1 The Problem 154 -- 7.1.1 AEDB Protocol 154 -- 7.1.2 Optimization Problem Definition 156 -- 7.2 Experiments 159 -- 7.2.1 Algorithm Configurations 159 -- 7.2.2 Comparison of the Performance of the Algorithms 160 -- 7.3 Analysis of Results 161 -- 7.4 Selecting Solutions from the Pareto Front 164 -- 7.4.1 Performance of the Selected Solutions 167 -- 7.5 Conclusion 170 -- References 171 -- 8 NETWORK TOPOLOGY 173 -- 8.1 The Problem 175 -- 8.1.1 Injection Networks 175 -- 8.1.2 Optimization Problem Definition 176 -- 8.2 Heuristics 178 -- 8.2.1 Centralized 178 -- 8.2.2 Distributed 179 -- 8.3 Experiments 180 -- 8.3.1 Algorithm Configurations 180 -- 8.3.2 Comparison of the Performance of the Algorithms 180. 8.4 Analysis of Results 183 -- 8.4.1 Analysis of the Objective Values 183 -- 8.4.2 Comparison with Heuristics 185 -- 8.5 Conclusion 187 -- References 188 -- 9 REALISTIC VEHICULAR MOBILITY 191 -- 9.1 The Problem 192 -- 9.1.1 Vehicular Mobility Model 192 -- 9.1.2 Optimization Problem Definition 196 -- 9.2 Experiments 199 -- 9.2.1 Algorithms Configuration 199 -- 9.2.2 Comparison of the Performance of the Algorithms 200 -- 9.3 Analysis of Results 202 -- 9.3.1 Analysis of the Decision Variables 202 -- 9.3.2 Analysis of the Objective Values 204 -- 9.4 Conclusion 206 -- References 206 -- 10 SUMMARY AND DISCUSSION 209 -- 10.1 A New Methodology for Optimization in Mobile Ad Hoc Networks 211 -- 10.2 Performance of the Three Algorithmic Proposals 213 -- 10.2.1 Broadcasting Protocol 213 -- 10.2.2 Energy-Efficient Communications 214 -- 10.2.3 Network Connectivity 214 -- 10.2.4 Vehicular Mobility 215 -- 10.3 Global Discussion on the Performance of the Algorithms 215 -- 10.3.1 Single-Objective Case 216 -- 10.3.2 Multi-Objective Case 217 -- 10.4 Conclusion 218 -- References 218 -- INDEX 221. |
Record Nr. | UNINA-9910828431103321 |
Dorronsoro Bernabé
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Hoboken, New Jersey : , : Computer society, IEEE, Wiley, , [2014] | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms in theory and practice [[electronic resource] ] : evolution strategies, evolutionary programming, genetic algorithms / / Thomas Bäck |
Autore | Bäck Thomas <1963-> |
Pubbl/distr/stampa | New York, : Oxford University Press, 1996 |
Descrizione fisica | 1 online resource (329 p.) |
Disciplina |
005.1
006.3 |
Collana | Oxford scholarship online |
Soggetto topico |
Genetic algorithms
Evolution (Biology) - Mathematical models Evolutionary programming (Computer science) |
Soggetto genere / forma | Electronic books. |
ISBN |
0-19-756092-X
1-280-76079-6 9786610760794 0-19-535670-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Introduction; I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; 1 Organic Evolution and Problem Solving; 1.1 Biological Background; 1.2 Evolutionary Algorithms and Artificial Intelligence; 1.3 Evolutionary Algorithms and Global Optimization; 1.4 Early Approaches; 1.5 Summary; 2 Specific Evolutionary Algorithms; 2.1 Evolution Strategies; 2.2 Evolutionary Programming; 2.3 Genetic Algorithms; 2.4 Summary; 3 Artificial Landscapes; 3.1 Sphere Model; 3.2 Step Function; 3.3 Ackley's Function; 3.4 Function after Fletcher and Powell; 3.5 Fractal Function; 3.6 Summary; 4 An Empirical Comparison
C.2 UsageC.3 Data Collection; D: The Multiprocessor Environment; D.1 The Transputer System; D.2 The Helios Operating System; E: Mathematical Symbols; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
Record Nr. | UNINA-9910450600303321 |
Bäck Thomas <1963->
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New York, : Oxford University Press, 1996 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms in theory and practice [[electronic resource] ] : evolution strategies, evolutionary programming, genetic algorithms / / Thomas Bäck |
Autore | Bäck Thomas <1963-> |
Pubbl/distr/stampa | New York, : Oxford University Press, 1996 |
Descrizione fisica | 1 online resource (329 p.) |
Disciplina |
005.1
006.3 |
Collana | Oxford scholarship online |
Soggetto topico |
Genetic algorithms
Evolution (Biology) - Mathematical models Evolutionary programming (Computer science) |
ISBN |
0-19-756092-X
1-280-76079-6 9786610760794 0-19-535670-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Introduction; I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; 1 Organic Evolution and Problem Solving; 1.1 Biological Background; 1.2 Evolutionary Algorithms and Artificial Intelligence; 1.3 Evolutionary Algorithms and Global Optimization; 1.4 Early Approaches; 1.5 Summary; 2 Specific Evolutionary Algorithms; 2.1 Evolution Strategies; 2.2 Evolutionary Programming; 2.3 Genetic Algorithms; 2.4 Summary; 3 Artificial Landscapes; 3.1 Sphere Model; 3.2 Step Function; 3.3 Ackley's Function; 3.4 Function after Fletcher and Powell; 3.5 Fractal Function; 3.6 Summary; 4 An Empirical Comparison
C.2 UsageC.3 Data Collection; D: The Multiprocessor Environment; D.1 The Transputer System; D.2 The Helios Operating System; E: Mathematical Symbols; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
Record Nr. | UNINA-9910784848703321 |
Bäck Thomas <1963->
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New York, : Oxford University Press, 1996 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary algorithms in theory and practice [[electronic resource] ] : evolution strategies, evolutionary programming, genetic algorithms / / Thomas Bäck |
Autore | Bäck Thomas <1963-> |
Pubbl/distr/stampa | New York, : Oxford University Press, 1996 |
Descrizione fisica | 1 online resource (329 p.) |
Disciplina |
005.1
006.3 |
Collana | Oxford scholarship online |
Soggetto topico |
Genetic algorithms
Evolution (Biology) - Mathematical models Evolutionary programming (Computer science) |
ISBN |
0-19-756092-X
1-280-76079-6 9786610760794 0-19-535670-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Introduction; I: A COMPARISON OF EVOLUTIONARY ALGORITHMS; 1 Organic Evolution and Problem Solving; 1.1 Biological Background; 1.2 Evolutionary Algorithms and Artificial Intelligence; 1.3 Evolutionary Algorithms and Global Optimization; 1.4 Early Approaches; 1.5 Summary; 2 Specific Evolutionary Algorithms; 2.1 Evolution Strategies; 2.2 Evolutionary Programming; 2.3 Genetic Algorithms; 2.4 Summary; 3 Artificial Landscapes; 3.1 Sphere Model; 3.2 Step Function; 3.3 Ackley's Function; 3.4 Function after Fletcher and Powell; 3.5 Fractal Function; 3.6 Summary; 4 An Empirical Comparison
C.2 UsageC.3 Data Collection; D: The Multiprocessor Environment; D.1 The Transputer System; D.2 The Helios Operating System; E: Mathematical Symbols; Bibliography; Index; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W |
Record Nr. | UNINA-9910812728603321 |
Bäck Thomas <1963->
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New York, : Oxford University Press, 1996 | ||
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Lo trovi qui: Univ. Federico II | ||
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Evolutionary computation |
Pubbl/distr/stampa | [Cambridge, Mass.], : MIT Press |
Disciplina | 004 |
Soggetto topico |
Genetic algorithms
Artificial intelligence Evolutionary computation Biological Evolution Mathematical Computing Models, Genetic Models, Theoretical Natural Computation Evolution Datenverarbeitung Zeitschrift Online-Ressource Künstliche Intelligenz Algoritmen Zoekstrategieën Computermethoden |
Soggetto genere / forma | Periodicals. |
ISSN | 1530-9304 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996548960603316 |
[Cambridge, Mass.], : MIT Press | ||
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Lo trovi qui: Univ. di Salerno | ||
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