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Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas,Valentín Osuna,Diego Oliva

Engineering (R0)

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À propos de ce livre

Langue :English
ISBN :9783319511092
Date de parution :30 déc. 2016
Éditeur :Springer International Publishing

Marque éditoriale :Springer
Format de fichier :EPUB2
Taille de fichier :5.70 MB
Options de téléchargement :EPUB2 (Adobe DRM)

Dans cette série

Advances of Evolutionary Computation: Methods and Operators

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Advances in Metaheuristics Algorithms: Methods and Applications

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Applications of Evolutionary Computation in Image Processing and Pattern Recognition

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Vos paramètres de confidentialité

Evolutionary Computation Techniques: A Comparative Perspective

Pourquoi lire avec nous ?

Résumé

À propos de ce livre

Détails du livre

Comment lire

Dans cette série

Advances of Evolutionary Computation: Methods and Operators

New Metaheuristic Schemes: Mechanisms and Applications

Image Processing with Python

Advances in Metaheuristics Algorithms: Methods and Applications

Applications of Evolutionary Computation in Image Processing and Pattern Recognition

Lectures semblables

Gmdh-methodology And Implementation In Matlab

Fuzzy Neural Networks for Real Time Control Applications

Bio-Inspired Computation and Applications in Image Processing

Extreme Learning Machines 2013: Algorithms and Applications

Evolutionary Computation in Combinatorial Optimization

Bioinspired Optimization Methods and Their Applications

Artificial Neural Networks in Pattern Recognition

Blind Source Separation

Applications of Evolutionary Computation in Image Processing and Pattern Recognition

Analysis and Comparison of Metaheuristics

Nature-Inspired Design of Hybrid Intelligent Systems

Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Combinations of Intelligent Methods and Applications

Advances in Metaheuristics Algorithms: Methods and Applications

Engineering Applications of Soft Computing

Fuzzy Information Processing 2020

Bio-inspired Algorithms for Engineering

Evolutionary Computation

Fuzzy Logic in Intelligent System Design

New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics

Computational Science – ICCS 2019

Advances and Applications of Optimised Algorithms in Image Processing

Harmony Search Algorithm

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Applications of Evolutionary Computation

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

Advances in Swarm Intelligence

Computational Science – ICCS 2020

Hybrid Artificial Intelligent Systems

Nature-Inspired Algorithms and Applied Optimization

Computational Science – ICCS 2018

Hybrid Quantum Metaheuristics

Mathematical Morphology and Its Applications to Signal and Image Processing

Artificial Intelligent Approaches in Petroleum Geosciences

Nature-Inspired Computation in Engineering

Computational Science – ICCS 2018

Nature-Inspired Computing and Optimization

Advances in Heuristic Signal Processing and Applications

Recent Advances in Computational Optimization

Applications of Fuzzy Techniques

Inspired by Nature

Recent Advances in Soft Computing

Shortest Path Solvers. From Software to Wetware

Advances in Swarm Intelligence

Applications of Evolutionary Computation

DNA Computing and Molecular Programming

Advances in Swarm Intelligence

Metaheuristics for Intelligent Electrical Networks

Fault Diagnosis Inverse Problems: Solution with Metaheuristics

Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design

Quantum Inspired Computational Intelligence

Advances in Computational Intelligence

Similarity-Based Pattern Recognition

Advances in Swarm Intelligence

Benchmarks and Hybrid Algorithms in Optimization and Applications

Computational Intelligence

Engineering and Applied Sciences Optimization

On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Pattern Recognition Applications and Methods

Applications of Evolutionary Computation

Fireworks Algorithm

Artificial Evolution

Computational Sustainability

Intelligent Systems