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Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques, Chis Monica


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Автор: Chis Monica
Название:  Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques
ISBN: 9781615208098
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1615208097
Обложка/Формат: Hardcover
Страницы: 262
Вес: 1.11 кг.
Дата издания: 15.02.2011
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 28.45 x 21.84 x 2.29 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Applications and techniques
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Поставляется из: Англии
Описание: Evolutionary computation brings new tools for software engineering by informing the systematic, disciplined, quantifiable processes of developing, operating, and maintaining software. Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.


Applications of Evolutionary Computation: 23rd European Conference, Evoapplications 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2

Автор: Castillo Pedro A., Jimйnez Laredo Juan Luis, Fernбndez de Vega Francisco
Название: Applications of Evolutionary Computation: 23rd European Conference, Evoapplications 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2
ISBN: 3030437213 ISBN-13(EAN): 9783030437213
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Applications of Evolutionary Computation.- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation.- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python.- Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control.- Automatic rule extraction from access rules using Genetic Programming.- Search Trajectory Networks of Population-based Algorithms in Continuous Spaces.- Evolving-controllers versus learning-controllers for morphologically evolvable robots.- Simulation-driven multi-objective evolution for traffic light optimization.- Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.- EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality.- A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization.- Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction.- Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification.- A method for estimating the computational complexity of multimodal functions.- Locating Odour Sources with Geometric Syntactic Genetic Programming.- Designing cable-stayed bridges with Genetic Algorithms.- A fast, scalable meta-heuristic for network slicing under traffic uncertainty.- What is Your MOVE: Modeling Adversarial Network Environments.- Using evolution to design modular robots: An empirical approach to select module designs.- Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem.- Applications of Bio-inspired techniques on Social Networks.- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases.- Community Detection in Attributed Graphs with Differential Evolution.- Applications of Deep Bioinspired Algorithms.- Fake news detection using time series and user features classification.- Social Learning vs Self-teaching in a Multi-agent Neural Network System.- Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution.- An Adversarial Optimization Approach for the Development of Robust Controllers.- Soft Computing Applied to Games.- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game.- Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models.- Learning the Designer's Preferences to Drive Evolution.- Testing hybrid computational intelligence algorithms for general game playing.- Evolutionary Computation in Digital Healthcare and Personalized Medicine.- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy.- Using Genetic Algorithms for the prediction of cognitive impairments.- Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution.- Evolutionary Machine Learning.- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.- Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution.- An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution.- Using Skill Rating as Fitness on the Evolution of GANs.- A Local Search with a Surrogate Assisted Option for Instance Reduction.- Evolutionary Latent Space Exploration of Generative Adversarial Networks.- Neuro-Evolutionary Transfer Learning through Structural Adaptation.- Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks.- Parallel and Distributed Systems.- A MIMD interpreter for Genetic Programming.- Security Risk Optimization for Multi-Cloud Applications.- Using evolutionary algorithms for server hardening via the moving target defense technique.- An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms.

Recent Advances in Evolutionary Computation for Combinatorial Optimization

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3540708065 ISBN-13(EAN): 9783540708063
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.

Integration of Software Specification Techniques for Applications in Engineering

Автор: Hartmut Ehrig; Werner Damm; J?rg Desel; Martin Gro
Название: Integration of Software Specification Techniques for Applications in Engineering
ISBN: 3540231358 ISBN-13(EAN): 9783540231356
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This volume is a documentation of the main results in the research area "In- gration of Software Speci?cation Techniques for Applications in Engineering". On one hand it is based on the Priority Program "Integration von Techniken der Softwarespezi?kation fur ] ingenieurwissenschaftliche Anwendungen", short Soft- Spez, oftheGermanResearchCouncil(DFG). Ontheotherhanditcontainsnew contributions of international experts in this research area, some of which were presented at the third international workshop INT 2004 on "Integration of Sp- i?cation Techniques for Applications in Engineering". INT 2004 was launched as a satellite event of ETAPS in Barcelona, the "European Joint Conferences on Theory and Practice of Software". The Priority Program SoftSpez was initiated by W. Brauer, M. Broy, H. Ehrig, H. J. Kreowski, H. Reichel, and H. Weber concerning di?erent aspects from computer science, and by E. Schnieder and E. Westk] amper concerning two main application areas in engineering, namely "Tra?c Control Systems" and "Production Automation". After acceptance of SoftSpez by the German Research Council for the period of 1998-2004 a call for speci?c projects within this priority program was launched, where 11 projects from about 75 project proposals were accepted for a period of two years. Since 1998 each year the main research proposals and results of the projects have been presented at an annual colloquium of the priority program, and every two years the projects have been evaluated by an independent group of referees appointed by the G- man Research Council. At this point we would like to thank A.

Evolutionary Multi-Criterion Optimization

Автор: Eckart Zitzler; Kalyanmoy Deb; Lothar Thiele; Carl
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3540417451 ISBN-13(EAN): 9783540417453
Издательство: Springer
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Цена: 18167.00 р.
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Описание: A collection of papers organized in sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Recent Advances in Evolutionary Computation for Combinatorial Optimization

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3642089739 ISBN-13(EAN): 9783642089732
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.

Applications of Evolutionary Computation

Автор: Cecilia Di Chio; Anthony Brabazon; Marc Ebner; Mud
Название: Applications of Evolutionary Computation
ISBN: 3642122418 ISBN-13(EAN): 9783642122415
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Since 1998, EvoApplications - formerly known as EvoWorkshops - has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains.

Applications of Evolutionary Computation

Автор: Giovanni Squillero; Kevin Sim
Название: Applications of Evolutionary Computation
ISBN: 3319557912 ISBN-13(EAN): 9783319557915
Издательство: Springer
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Цена: 7685.00 р.
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Описание: EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines.- On the Use of Smelly Examples to Detect Code Smells in JavaScript.- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka.- Focusing Learning-based Testing away from Known Weaknesses.- Polytypic Genetic Programming.- Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach.- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time.- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times.- Pre-Scheduled Colony Size Variation in Dynamic Environments.- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet.- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology.- Road Traffic Rules Synthesis Using Grammatical Evolution.- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm.- General: Meta-Heuristics for Improved RF Emitter Localization.- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm.

Applications of Evolutionary Computation

Автор: Giovanni Squillero; Kevin Sim
Название: Applications of Evolutionary Computation
ISBN: 331955848X ISBN-13(EAN): 9783319558486
Издательство: Springer
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Цена: 16769.00 р.
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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

Exploring Critical Approaches of Evolutionary Computation

Автор: Muhammad Sarfraz
Название: Exploring Critical Approaches of Evolutionary Computation
ISBN: 1522558322 ISBN-13(EAN): 9781522558323
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented.Exploring Critical Approaches of Evolutionary Computation is a vital scholarly publication that explores the latest developments, methods, approaches, and applications of evolutionary models in a variety of fields. It also emphasizes evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, genetic programming, and related fields such as swarm intelligence and other evolutionary computation techniques. Highlighting a range of pertinent topics such as neural networks, data mining, and data analytics, this book is designed for IT developers, IT theorists, computer engineers, researchers, practitioners, and upper-level students seeking current research on enhanced information exchange methods and practical aspects of computational systems.

Handbook of Finite State Based Models and Applications

Название: Handbook of Finite State Based Models and Applications
ISBN: 1138199354 ISBN-13(EAN): 9781138199354
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание:

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and Applications provides a complete collection of introductory materials on finite state theories, algorithms, and the latest domain applications. For beginners, the book is a handy reference for quickly looking up model details. For more experienced researchers, it is suitable as a source of in-depth study in this area.

The book first introduces the fundamentals of automata theory, including regular expressions, as well as widely used automata, such as transducers, tree automata, quantum automata, and timed automata. It then presents algorithms for the minimization and incremental construction of finite automata and describes Esterel, an automata-based synchronous programming language for embedded system software development.

Moving on to applications, the book explores regular path queries on graph-structured data, timed automata in model checking security protocols, pattern matching, compiler design, and XML processing. It also covers other finite state-based modeling approaches and applications, including Petri nets, statecharts, temporal logic, and UML state machine diagrams.

Combinatorial optimization and applications

Название: Combinatorial optimization and applications
ISBN: 3642020259 ISBN-13(EAN): 9783642020254
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the Third International Conference on Combinatorial Optimization and Applications, COCOA 2009, held in Huangshan, China, in June 2009.

Combinatorial Optimization and Applications

Автор: Gao
Название: Combinatorial Optimization and Applications
ISBN: 3319711490 ISBN-13(EAN): 9783319711492
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The two-volume set LNCS 10627 and 10628 constitutes the refereed proceedings of the 11th International Conference on Combinatorial Optimization and Applications, COCOA 2017, held in Shanghai, China, in December 2017. The 59 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions.


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