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2018 International Conference on Unconventional Modelling, Simulation and Optimization - Soft Computing and Meta Heuristics : 2-5 December 2018, Kitakyushu, Japan / / Institute of Electrical and Electronics Engineers
| 2018 International Conference on Unconventional Modelling, Simulation and Optimization - Soft Computing and Meta Heuristics : 2-5 December 2018, Kitakyushu, Japan / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (35 pages) |
| Disciplina | 731.42 |
| Soggetto topico |
Modeling
Soft computing Metaheuristics |
| ISBN | 1-5386-8017-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910310656903321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2018 International Conference on Unconventional Modelling, Simulation and Optimization - Soft Computing and Meta Heuristics : 2-5 December 2018, Kitakyushu, Japan / / Institute of Electrical and Electronics Engineers
| 2018 International Conference on Unconventional Modelling, Simulation and Optimization - Soft Computing and Meta Heuristics : 2-5 December 2018, Kitakyushu, Japan / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (35 pages) |
| Disciplina | 731.42 |
| Soggetto topico |
Modeling
Soft computing Metaheuristics |
| ISBN | 1-5386-8017-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996575289203316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in structural engineering--optimization : emerging trends in structural optimization / / Sinan Melih Nigdeli [and three others]
| Advances in structural engineering--optimization : emerging trends in structural optimization / / Sinan Melih Nigdeli [and three others] |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (VIII, 310 p. 138 illus., 64 illus. in color.) |
| Disciplina | 624.17 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Metaheuristics
Structural optimization - Data processing |
| ISBN | 3-030-61848-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Developments on Metaheuristic-Based Optimization in Structural Engineering -- Current Trends in the Optimization Approaches for Optimal Structural Control -- Statistical Evaluation of Metaheuristic Algorithm: An Optimum Reinforced Concrete T-Beam Problem. |
| Record Nr. | UNINA-9910483615503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis and comparison of metaheuristics / / Erik Cuevas, Omar Avalos, Jorge Gálvez
| Analysis and comparison of metaheuristics / / Erik Cuevas, Omar Avalos, Jorge Gálvez |
| Autore | Cuevas Erik |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 005.1 |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Metaheuristics
Computer algorithms |
| ISBN | 3-031-20105-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 Fundamentals of Metaheuristic Computation -- 1.1 Formulation of an Optimization Problem -- 1.2 Classical Optimization Methods -- 1.3 Metaheuristic Computation Schemes -- 1.4 Generic Structure of a Metaheuristic Method -- References -- 2 A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionary Computational Techniques -- 2.1 Introduction -- 2.2 Evolutionary Computation Algorithms -- 2.2.1 Particle Swarm Optimization (PSO) -- 2.2.2 Artificial Bee Colony (ABC) -- 2.2.3 Differential Evolution (DE) -- 2.2.4 Harmony Search (HS) -- 2.2.5 Gravitational Search Algorithm (GSA) -- 2.2.6 Flower Pollination Algorithm (FPA) -- 2.3 2D-IIR Filter Design Procedure -- 2.3.1 Comparative Parameter Setting -- 2.4 Experimental Results -- 2.4.1 Accuracy Comparison -- 2.4.2 Convergence Study -- 2.4.3 Computational Cost -- 2.4.4 Comparison with Different Bandwidth Sizes -- 2.4.5 Filter Performance Features -- 2.4.6 Statistical Non-parametrical Analysis -- 2.4.7 Filter Design Study in Images -- 2.5 Conclusions -- References -- 3 Comparison of Metaheuristics for Chaotic Systems Estimation -- 3.1 Introduction -- 3.2 Evolutionary Computation Techniques (ECT) -- 3.2.1 Particle Swarm Optimization (PSO) -- 3.2.2 Artificial Bee Colony (ABC) -- 3.2.3 Cuckoo Search (CS) -- 3.2.4 Harmony Search (HS) -- 3.2.5 Differential Evolution (DE) -- 3.2.6 Gravitational Search Algorithm (GSA) -- 3.3 Parameter Estimation for Chaotic Systems (CS) -- 3.4 Experimental Results -- 3.4.1 Chaotic System Parameter Estimation -- 3.4.2 Statistical Analysis -- 3.5 Conclusions -- References -- 4 Comparison Study of Novel Evolutionary Algorithms for Elliptical Shapes in Images -- 4.1 Introduction -- 4.2 Problem Definition -- 4.2.1 Multiple Ellipse Detection -- 4.3 Evolutionary Optimization Techniques.
4.3.1 Grey Wolf Optimizer (GWO) Algorithm -- 4.3.2 Whale Optimizer Algorithm (WOA) -- 4.3.3 Crow Search Algorithm (CSA) -- 4.3.4 Gravitational Search Algorithm (GSA) -- 4.3.5 Cuckoo Search (CS) Method -- 4.4 Comparative Perspective of the Five Metaheuristic Methods -- 4.5 Experimental Simulation Results -- 4.5.1 Performance Metrics -- 4.5.2 Experimental Comparison Study -- 4.6 Conclusions -- References -- 5 IIR System Identification Using Several Optimization Techniques: A Review Analysis -- 5.1 Introduction -- 5.2 Evolutionary Computation (EC) Algorithms -- 5.2.1 Particle Swarm Optimization (PSO) -- 5.2.2 The Artificial Bee Colony (ABC) -- 5.2.3 The Electromagnetism-Like (EM) Technique -- 5.2.4 Cuckoo Search (CS) Technique -- 5.2.5 Flower Pollination Algorithm (FPA) -- 5.3 Formulation of IIR Model Identification -- 5.4 Experimental Results -- 5.4.1 Results of IIR Model Identification -- 5.4.2 Statistical Study -- 5.5 Conclusions -- References -- 6 Fractional-Order Estimation Using via Locust Search Algorithm -- 6.1 Introduction -- 6.2 Fractional Calculus -- 6.3 Locust Search (LS) Algorithm -- 6.3.1 Solitary Phase (A) -- 6.3.2 Social Phase (B) -- 6.4 Fractional-Order Van der Pol Oscillator -- 6.5 Problem Formulation -- 6.6 Experimental Results -- 6.7 Conclusions -- References -- 7 Comparison of Optimization Techniques for Solar Cells Parameter Identification -- 7.1 Introduction -- 7.2 Evolutionary Computation (EC) Techniques -- 7.2.1 Artificial Bee Colony (ABC) -- 7.2.2 Differential Evolution (DE) -- 7.2.3 Harmony Search (HS) -- 7.2.4 Gravitational Search Algorithm (GSA) -- 7.2.5 Particle Swarm Optimization (PSO) -- 7.2.6 Cuckoo Search (CS) Technique -- 7.2.7 Differential Search Algorithm (DSA) -- 7.2.8 Crow Search Algorithm (CSA) -- 7.2.9 Covariant Matrix Adaptation with Evolution Strategy (CMA-ES) -- 7.3 Solar Cells Modeling Process. 7.4 Experimental Results -- 7.5 Conclusions -- References -- 8 Comparison of Metaheuristics Techniques and Agent-Based Approaches -- 8.1 Introduction -- 8.2 Agent-Based Approaches -- 8.2.1 Fire Spreading -- 8.2.2 Segregation -- 8.3 Heroes and Cowards Concept -- 8.4 An Agent-Based Approach as a Metaheuristic Method -- 8.4.1 Problem Formulation -- 8.4.2 Heroes and Cowards as a Metaheuristic Method -- 8.4.3 Computational Procedure -- 8.5 Comparison with Metaheuristic Methods -- 8.5.1 Performance Evaluation with Regard to Its Own Tuning Parameters -- 8.5.2 Performance Comparison -- 8.5.3 Convergence -- 8.5.4 Engineering Design Problems -- 8.6 Conclusions -- Appendix 8.1: List of Benchmark Functions -- Appendix 8.2: Engineering Design Problems -- References. |
| Record Nr. | UNINA-9910629280803321 |
Cuevas Erik
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Constraint handling in metaheuristics and applications / / Anand J. Kulkarni [and four others], editors
| Constraint handling in metaheuristics and applications / / Anand J. Kulkarni [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 005.11 |
| Soggetto topico |
Constraint programming (Computer science)
Metaheuristics |
| ISBN | 981-336-710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483057703321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Constraint handling in metaheuristics and applications / / Anand J. Kulkarni [and four others], editors
| Constraint handling in metaheuristics and applications / / Anand J. Kulkarni [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 005.11 |
| Soggetto topico |
Constraint programming (Computer science)
Metaheuristics |
| ISBN | 981-336-710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464492003316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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ISMSI 2022 : 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence : Seoul Korea April 9-10, 2022 / / general editor, Suash Deb
| ISMSI 2022 : 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence : Seoul Korea April 9-10, 2022 / / general editor, Suash Deb |
| Pubbl/distr/stampa | New York : , : Association for Computing Machinery, , 2022 |
| Descrizione fisica | 1 online resource (117 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Metaheuristics Swarm intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580190703321 |
| New York : , : Association for Computing Machinery, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristic and evolutionary computation : algorithms and applications / / editors, Hasmat Malik [et al.]
| Metaheuristic and evolutionary computation : algorithms and applications / / editors, Hasmat Malik [et al.] |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XXIX, 820 p. 485 illus., 368 illus. in color.) |
| Disciplina | 519.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Mathematical optimization
Evolutionary computation Metaheuristics |
| ISBN | 981-15-7571-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction: Optimization and Metaheuristics Algorithms -- Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms -- Chapter 3. Tackling Power Quality Issues using Metaheuristics -- Chapter 4. Meta-Heuristic application in Suppression of Noise -- Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering -- Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review -- Chapter 7. Application of Metaheuristics in Power Electronics -- Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications -- Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework -- Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020). |
| Record Nr. | UNINA-9910483375203321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristic optimization : nature-inspired algorithms swarm and computational intelligence, theory and applications / / Modestus O. Okwu, Lagouge K. Tartibu
| Metaheuristic optimization : nature-inspired algorithms swarm and computational intelligence, theory and applications / / Modestus O. Okwu, Lagouge K. Tartibu |
| Autore | Okwu Modestus O. |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XII, 192 p. 112 illus., 92 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Computational intelligence
Metaheuristics |
| ISBN | 3-030-61111-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction To Optimization -- Particle Swarm Optimisation -- Artificial Bee Colony Algorithm -- Ant Colony Algorithm -- Grey Wolf Optimizer -- Whale Optimization Algorithm -- Bat Algorithm -- Ant Lion Optimization Algorithm -- Grasshopper Optimisation Algorithm (Goa) -- Moths–Flame Optimization Algorithm -- Genetic Algorithm -- Artificial Neural Network -- Future of Nature Inspired Algorithm, Swarm and Computational Intelligence. |
| Record Nr. | UNINA-9910484517103321 |
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Okwu Modestus O.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristics : from design to implementation / El-Ghazali Talbi
| Metaheuristics : from design to implementation / El-Ghazali Talbi |
| Autore | Talbi, El-Ghazali, 1965- |
| Pubbl/distr/stampa | Hoboken, N.J. : John Wiley & Sons, c2009 |
| Descrizione fisica | xxix, 593 p. : ill., maps ; 25 cm |
| Disciplina | 519.6 |
| Soggetto topico |
Mathematical optimization
Metaheuristics Heuristic programming Problem solving - Data processing |
| ISBN | 9780470278581 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991003662729707536 |
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Talbi, El-Ghazali, 1965-
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| Hoboken, N.J. : John Wiley & Sons, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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