Fuzzy Evolutionary Computation, Witold Pedrycz

Автор: Witold Pedrycz
Название: Fuzzy Evolutionary Computation
ISBN: 0792399420 ISBN-13(EAN): 9780792399421
Издательство: Springer
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Цена: 186290.00 T
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Описание: As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.

Автор: Keller
Название: Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation
ISBN: 1119214343 ISBN-13(EAN): 9781119214342
Издательство: Wiley
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Цена: 104550.00 T
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Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 3319138251 ISBN-13(EAN): 9783319138251
Издательство: Springer
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Цена: 121110.00 T
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Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Shengxiang Yang; Xin Yao
Название: Evolutionary Computation for Dynamic Optimization Problems
ISBN: 3642384153 ISBN-13(EAN): 9783642384158
Издательство: Springer
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Цена: 217680.00 T
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Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.

Автор: Michael Emmerich; Andre Deutz; Oliver Schuetze; Th
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
ISBN: 3319011278 ISBN-13(EAN): 9783319011271
Издательство: Springer
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Цена: 200260.00 T
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Описание: Machine Learning and Probabilistic Models.- Complex Networks and Evolutionary Computation.- Diversity Oriented Optimization.- Set-oriented Numerics and Evolutionary Multiobjective Optimization.- Genetic Programming.- Robust Optimization.

Автор: Erik Cuevas; Margarita Arimatea D?az Cort?s; Diego
Название: Advances of Evolutionary Computation: Methods and Operators
ISBN: 3319285025 ISBN-13(EAN): 9783319285023
Издательство: Springer
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Цена: 121890.00 T
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Описание:

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.

Автор: Cuevas, Erik, Osuna, Valentin, Oliva, Diego
Название: Evolutionary Computation Techniques: A Comparative Perspective
ISBN: 3319511084 ISBN-13(EAN): 9783319511085
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains.

Автор: Alexandru-Adrian Tantar; Emilia Tantar; Jian-Qiao
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
ISBN: 3319074938 ISBN-13(EAN): 9783319074931
Издательство: Springer
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Цена: 191560.00 T
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Описание: Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Автор: Oliver Schuetze; Carlos A. Coello; Alexandru-Adria
Название: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III
ISBN: 3319014595 ISBN-13(EAN): 9783319014593
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico.

Автор: Bin Hu; Manuel L?pez-Ib??ez
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3319554522 ISBN-13(EAN): 9783319554525
Издательство: Springer
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Цена: 51230.00 T
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Описание: A Computational Study of Neighborhood Operators for Job-shop Scheduling Problems with Regular Objectives.- A Genetic Algorithm for Multi-Component Optimization Problems: the Case of the Travelling Thief Problem.- A Hybrid Feature Selection Algorithm Based on Large Neighborhood Search.- A Memetic Algorithm to Maximise the Employee Substitutability in Personnel Shift Scheduling.- Construct, Merge, Solve and Adapt versus Large Neighborhood Search for Solving the Multi-Dimensional Knapsack Problem: Which One Works Better When.- Decomposing SAT Instances with Pseudo Backbones.- Efficient Consideration of Soft Time Windows in a Large Neighborhood Search for the Districting and Routing Problem for Security Control.- Estimation of Distribution Algorithms for the Firefighter Problem.- LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows.- Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO.- Optimizing Charging Station Locations for Electric Car-Sharing Systems.- Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier.- Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants.- The Weighted Independent Domination Problem: ILP Model and Algorithmic

Автор: Giovanni Squillero; Kevin Sim
Название: Applications of Evolutionary Computation
ISBN: 331955848X ISBN-13(EAN): 9783319558486
Издательство: Springer
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Цена: 111790.00 T
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Описание: EvoBAFIN: Minimization of Systemic Risk for Directed Network Using Genetic Algorithm.- Pricing Rainfall Based Futures Using Genetic Programming.- Dynamic Portfolio Optimization in Ultra-High Frequency Environment.- EvoBIO: Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism.- De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness.- EVE: Cloud-based Annotation of Human Genetic Variants.- Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods.- Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm.- Characterizing the Influence of Rule-based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data.- Enhancing Grammatical Evolution through Data Augmentation: Application to Blood Glucose Forecasting.- Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification.- EvoCOMNET: Meta-heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing.- Analysis of Average Communicability in Complex Networks.- Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customized Genetic Algorithm.- Multi-Objective Evolutionary Algorithms for Influence Maximization in Social Networks.- A fast ILP-based Heuristic for the Robust Design of Body Wireless Sensor Networks.- EvoCOMPLEX: Lamarckian and Lifelong Memetic Search in Agent-based Computing.- Two-phase Strategy Managing Insensitivity in Global Optimization.- Avenues for the Use of Cellular Automata in Image Segmentation.- Local Misfit Approximation in Memetic Solving of Ill-posed Inverse Problems.- The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion.- EvoENERGY: Adaptive Batteries Exploiting On-line Steady-State Evolution Strategy.- Hybrid Multi-Ensemble Scheduling.- EvoGAMES: Driving in TORCS Using Modular Fuzzy Controllers.- Automated Game Balancing in Ms Pacman and StarCraft Using Evolutionary Algorithms.- Evolving Game-specific UCB Alternatives for General Video Game Playing.- Relief Camp Manager: A Serious Game Using the World Health Organization's Relief Camp Guidelines.- Analyisis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing.- Darwin's Demons: Does Evolution Improve the Game.- EvoIASP: Evolutionary Art Using the Fly Algorithm.- Bagging and Feature Selection for Classification with Incomplete Data.- Surrogate-model Based Particle Swarm Optimization with Local Search for Feature Selection in Classification.- Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm.- Brain Programming and the Random Search in Object Categorization.- Using Particle Swarm Optimization and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.- EvoINDUSTRY: Container Vessel Stowage Planning System Using Genetic Algorithm.- The Artificial Immune Ecosystem: a Bio-inspired Meta-algorithm for Boosting Time Series Anomaly Detection with Expert Input.- Empirical Analysis of Optimization Methods for the Real-World Dial-a-Ride Problem.- EvoKNOW: Presenting the ECO: Evolutionary Computation Ontology.- A New Evolutionary Algorithm for Synchronization.- Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction among Variables.- A Framework for Knowledge Integrated Evolutionary Algorithms.- DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomized Multivariate Gaussian Distributions.- EvoNUM: Ranking Programming Languages for Evolutionary Algorithm Operations.- Distance-based Tournament Selection.- Preferences-Based Choice Prediction in Evolutionary Multi-Objective Optimization.- Numerical Optimization of ESA's Messenger Space Mission Benchmark.- EvoPAR: A VNS with Parallel Evaluation of Solutions for the Inverse Lighting P

Автор: Emilia Tantar; Alexandru-Adrian Tantar; Pascal Bou
Название: EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation
ISBN: 3642445039 ISBN-13(EAN): 9783642445033
Издательство: Springer
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Цена: 172350.00 T
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Описание: This book provides strong theoretical support for analyzing the behavior of evolutionary algorithms and for bridging probability, set-oriented numerics and evolutionary computation. Offers theoretical findings, optimization problems and new perspectives.