Evolutionary Computation in Dynamic and Uncertain Environments, Shengxiang Yang; Yew-Soon Ong; Yaochu Jin
Автор: Ronald W. Morrison Название: Designing Evolutionary Algorithms for Dynamic Environments ISBN: 364205952X ISBN-13(EAN): 9783642059520 Издательство: Springer Рейтинг: Цена: 10754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre- viously unknown relationships between performance and diversity that may lead to general methods for improving EAs in dynamic environments. Along the way, several other important design issues are addressed involving com- putational efficiency, performance measurement, and the testing of EAs in dynamic environments.
Автор: Shengxiang Yang; Xin Yao Название: Evolutionary Computation for Dynamic Optimization Problems ISBN: 3642384153 ISBN-13(EAN): 9783642384158 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.
Автор: Shengxiang Yang; Xin Yao Название: Evolutionary Computation for Dynamic Optimization Problems ISBN: 3642448437 ISBN-13(EAN): 9783642448430 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems.
Описание: The Italian community in Artificial Life and Evolutionary computation has grown remarkably over the years. This book presents a collection of its major interests and achievements (including contributions from foreign countries). It provides a broad picture of the Italian activities in this field.
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: Cuevas, Erik, Osuna, Valentin, Oliva, Diego Название: Evolutionary Computation Techniques: A Comparative Perspective ISBN: 3319511084 ISBN-13(EAN): 9783319511085 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: 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 Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems.
Описание: This book comprises selected research papers from the 2015 edition of the EVOLVE conference, which was held on June 18-June 24, 2015 in Iasi, Romania.
Автор: Giovanni Squillero; Kevin Sim Название: Applications of Evolutionary Computation ISBN: 3319557912 ISBN-13(EAN): 9783319557915 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Giovanni Squillero; Kevin Sim Название: Applications of Evolutionary Computation ISBN: 331955848X ISBN-13(EAN): 9783319558486 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
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