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Advances in Metaheuristics Algorithms: Methods and Applications / / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
| Advances in Metaheuristics Algorithms: Methods and Applications / / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIV, 218 p. 48 illus., 13 illus. in color.) |
| Disciplina | 519.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-89309-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- The metaheuristic algorithm of the social-spider -- Calibration of Fractional Fuzzy Controllers by using the Social-spider method -- The metaheuristic algorithm of the Locust-search -- Identification of fractional chaotic systems by using the Locust Search Algorithm -- The States of Matter Search (SMS) -- Multimodal States of Matter search -- Metaheuristic algorithms based on Fuzzy Logic. |
| Record Nr. | UNINA-9910299935703321 |
Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances of Evolutionary Computation: Methods and Operators / / by Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro
| Advances of Evolutionary Computation: Methods and Operators / / by Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 202 p. 48 illus., 43 illus. in color.) |
| Disciplina | 006.3823 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-28503-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- A Swarm Global Optimization Algorithm Inspired in the Behavior of the Social-spider.-A States of Matter Algorithm for Global Optimization -- An Algorithm for Global Optimization Inspired by Collective Animal Behavior -- A Bio-inspired Evolutionary Algorithm: Allostatic Optimization -- Optimization Based on the Behavior of Locust Swarms. . |
| Record Nr. | UNINA-9910254258203321 |
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Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| 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 |
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Cuevas Erik
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Evolutionary Computation in Image Processing and Pattern Recognition / / by Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
| Applications of Evolutionary Computation in Image Processing and Pattern Recognition / / by Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (284 p.) |
| Disciplina | 006.3823 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Image processing Speech processing systems Optical data processing Calculus of variations Computational Intelligence Artificial Intelligence Signal, Image and Speech Processing Image Processing and Computer Vision Calculus of Variations and Optimal Control; Optimization |
| ISBN | 3-319-26462-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Image Segmentation Based on Differential Evolution Optimization.-Motion Estimation Based on Artificial Bee Colony (ABC) -- Ellipse Detection on Images Inspired by the Collective Animal Behavior -- Template Matching by Using the States of Matter Algorithm -- Estimation of Multiple View Relations Considering Evolutionary Approaches -- Circle Detection on Images Based on an Evolutionary Algorithm that Reduces the Number of Function Evaluations -- Otsu and Kapur Segmentation Based on Harmony Search Optimization -- Leukocyte Detection by Using Electromagnetism-Like Optimization -- Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. |
| Record Nr. | UNINA-9910254210003321 |
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Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation Techniques: A Comparative Perspective / / by Erik Cuevas, Valentín Osuna, Diego Oliva
| Evolutionary Computation Techniques: A Comparative Perspective / / by Erik Cuevas, Valentín Osuna, Diego Oliva |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 222 p. 74 illus., 33 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-51109-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Multilevel segmentation in digital images -- Multi-Circle detection on images -- Template matching -- Motion estimation -- Photovoltaic cell design -- Parameter identification of induction motors -- White blood cells Detection in images -- Estimation of view transformations in images -- Filter Design. |
| Record Nr. | UNINA-9910254354703321 |
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Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis / / by Erik Cuevas, Alberto Luque, Bernardo Morales Castañeda, Beatriz Rivera
| Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis / / by Erik Cuevas, Alberto Luque, Bernardo Morales Castañeda, Beatriz Rivera |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (309 pages) |
| Disciplina | 519.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-63053-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 1. Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Calibration Using metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?. |
| Record Nr. | UNINA-9910869172703321 |
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Cuevas Erik
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristic computation : a performance perspective / / Erik Cuevas, Primitivo Diaz, Octavio Camarena
| Metaheuristic computation : a performance perspective / / Erik Cuevas, Primitivo Diaz, Octavio Camarena |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIV, 269 p. 93 illus., 31 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-58100-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introductory concepts of metaheuristic computation -- Introductory concepts of metaheuristic computation -- A metaheuristic methodology based on fuzzy logic principles. |
| Record Nr. | UNINA-9910483597603321 |
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Cuevas Erik
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristics Algorithms in Power Systems / / by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
| Metaheuristics Algorithms in Power Systems / / by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 221 p.) |
| Disciplina | 621.31 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Energy systems Power electronics Artificial intelligence Computational Intelligence Energy Systems Power Electronics, Electrical Machines and Networks Artificial Intelligence |
| ISBN | 3-030-11593-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to metaheuristics methods -- Chapter 2. Metaheuristic schemes for parameter estimation in induction motors -- Chapter 3. Non-conventional overcurrent relays coordination -- Chapter 4. Overcurrent relay coordination, robustness and fast solutions etc. |
| Record Nr. | UNINA-9910482987603321 |
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Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Advancements in Swarm Algorithms: Operators and Applications / / by Erik Cuevas, Fernando Fausto, Adrián González
| New Advancements in Swarm Algorithms: Operators and Applications / / by Erik Cuevas, Fernando Fausto, Adrián González |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (306 pages) |
| Disciplina |
511.8
518.1 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-16339-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483212703321 |
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Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Metaheuristic Schemes: Mechanisms and Applications / / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
| New Metaheuristic Schemes: Mechanisms and Applications / / by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (280 pages) |
| Disciplina | 621.38 |
| Altri autori (Persone) |
ZaldívarDaniel
Pérez-CisnerosMarco |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Cooperating objects (Computer systems)
Machine learning Artificial intelligence Computer science Cyber-Physical Systems Machine Learning Artificial Intelligence Computer Science |
| ISBN | 3-031-45561-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems -- Exploring the potential of agent systems for metaheuristics -- Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach -- Trajectory-Driven Metaheuristic Approach using a Second-Order model -- Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony -- Efficient Image Contrast Enhancement by using the Moth Swarm Algorithm. |
| Record Nr. | UNINA-9910760295203321 |
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Cuevas Erik
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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