Evolutionary Computation in Economics and Finance, Shu-Heng Chen
Автор: Carlos Cotta; Peter I. Cowling Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3642010083 ISBN-13(EAN): 9783642010088 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tubingen, Germany, in April 2009. This work contains papers that discuss developments and applications in metaheuristics.
Автор: Bin Hu; Manuel L?pez-Ib??ez Название: Evolutionary Computation in Combinatorial Optimization ISBN: 3319554522 ISBN-13(EAN): 9783319554525 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Описание: This bookconstitutes the revised selected papers of the 10th Italian Workshop onAdvances in Artificial Life, Evolutionary Computation and Systems Chemistry,WIVACE 2015, held at Bari, Italy, in September 2015.The 18papers presented have been thoroughly reviewed and selected from 45submissions.
Автор: Yaochu Jin Название: Knowledge Incorporation in Evolutionary Computation ISBN: 3642061745 ISBN-13(EAN): 9783642061745 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferences, as well as domain knowledge acquired during evolu- tionary search, into evolutionary algorithms has received increasing interest in the recent years.
Автор: Witold Pedrycz Название: Fuzzy Evolutionary Computation ISBN: 1461378117 ISBN-13(EAN): 9781461378112 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Hindriks Jean Название: Intermediate Public Economics ISBN: 0262018691 ISBN-13(EAN): 9780262018692 Издательство: MIT Press Рейтинг: Цена: 18622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A new edition of a comprehensive text, updated throughout, with new material on behavioral economics, international taxation, cost-benefit analysis, and the economics of climate policy.
Public economics studies how government taxing and spending activities affect the economy -- economic efficiency and the distribution of income and wealth. This comprehensive text on public economics covers the core topics of market failure and taxation as well as recent developments in both policy and the academic literature. It is unique not only in its broad scope but in its balance between public finance and public choice and its combination of theory and relevant empirical evidence.
The book covers the theory and methodology of public economics; presents a historical and theoretical overview of the public sector; and discusses such topics as departures from efficiency (including imperfect competition and asymmetric information), issues in political economy, equity, taxation, fiscal federalism, and tax competition among independent jurisdictions. Suggestions for further reading, from classic papers to recent research, appear in each chapter, as do exercises. The mathematics has been kept to a minimum without sacrificing intellectual rigor; the book remains analytical rather than discursive. This second edition has been thoroughly updated throughout. It offers new chapters on behavioral economics, limits to redistribution, international taxation, cost-benefit analysis, and the economics of climate policy. Additional exercises have been added and many sections revised in response to advice from readers of the first edition.
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: Giovanni Squillero; Paolo Burelli Название: Applications of Evolutionary Computation ISBN: 3319311522 ISBN-13(EAN): 9783319311524 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression.- Validating the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms.- Benchmarking Languages for Evolutionary Algorithms.- On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.- Evolving Smoothing Kernels for Global Optimization.- EvoPAR: Implementing Parallel Differential Evolution on Spark.- ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithm.- Addressing High Dimensional Multi-Objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces.- Compilable Phenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution.- GPU Accelerated Molecular Docking Simulation with Genetic Algorithms.- EvoRISK: Challenging Anti-virus Through Evolutionary Malware Obfuscation.- EvoROBOT: Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems.- Multi-Agent Behavior-Based Policy Transfer.- On-line Evolution of Foraging Behaviour in a Population of Real Robots.- Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task.- EvoSTOC: Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.- Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting.- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation.- Genetic Programming Algorithms for Dynamic Environments.- A Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization Problems.- Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.
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: 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.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
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