Optinformatics in Evolutionary Learning and Optimization, Feng Liang, Hou Yaqing, Zhu Zexuan

Автор: Oliver Kramer
Название: A Brief Introduction to Continuous Evolutionary Optimization
ISBN: 3319034219 ISBN-13(EAN): 9783319034218
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book introduces heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. It presents heuristic extensions that allow optimization in constrained, multimodal and multi-objective solution spaces.

Автор: Li, Juan
Название: Decomposition-based evolutionary optimization in complex environments /
ISBN: 9811218986 ISBN-13(EAN): 9789811218989
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of aEURO~making things simpleaEURO (TM) and aEURO~divide and conqueraEURO (TM) to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization.

Автор: Kaushik Kumar and J. Paulo Davim
Название: Optimization using evolutionary algorithms and metaheuristics
ISBN: 0367260441 ISBN-13(EAN): 9780367260446
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.

Автор: Simon, Dan
Название: Evolutionary Optimization Algorithms
ISBN: 0470937416 ISBN-13(EAN): 9780470937419
Издательство: Wiley
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Цена: 117160.00 T
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Описание: This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs.

Автор: Edmondo Minisci; Massimiliano Vasile; Jacques Peri
Название: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
ISBN: 3030079104 ISBN-13(EAN): 9783030079109
Издательство: Springer
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Цена: 158380.00 T
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Описание: This volume presents up-to-date material on the state of the art in evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems from Europe, Asia, and America.EUROGEN 2015 was the 11th of a series of International Conferences devoted to bringing together specialists from universities, research institutions and industries developing or applying evolutionary and deterministic methods in design optimization, with emphasis on solving industrial and societal problems. The conference was organised around a number of parallel symposia, regular sessions, and keynote lectures focused on surrogate-based optimization in aerodynamic design, adjoint methods for steady & unsteady optimization, multi-disciplinary design optimization, holistic optimization in marine design, game strategies combined with evolutionary computation, optimization under uncertainty, topology optimization, optimal planning, shape optimization, and production scheduling.

Автор: Esther Andr?s-P?rez; Leo M. Gonz?lez; Jacques Peri
Название: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems
ISBN: 3030078876 ISBN-13(EAN): 9783030078874
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

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: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca
Название: Evolutionary Multi-Criterion Optimization
ISBN: 331915933X ISBN-13(EAN): 9783319159331
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.

Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3319158910 ISBN-13(EAN): 9783319158914
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.

Автор: Christian Blum; Gabriela Ochoa
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3662443198 ISBN-13(EAN): 9783662443194
Издательство: Springer
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Цена: 44720.00 T
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Описание:

A Hybrid Ant Colony Optimization Algorithm for the Far From Most String Problem.- A Parametric Framework for Cooperative Parallel Local Search.- A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.- An Analysis of Parameters of irace.- An Improved Multi-objective Algorithm for the Urban Transit Routing Problem.- An Iterated Greedy Heuristic for Simultaneous Lot-Sizing and Scheduling Problem in Production Flow Shop Environments.- Balancing Bicycle Sharing Systems: An Approach for the Dynamic Case.- Cooperative Selection: Improving Tournament Selection via Altruism.- Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem.- Dynamic Period Routing for a Complex Real-World System: A Case Study in Storm Drain Maintenance.- Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem.- Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection Global Optimization of Multimodal Deceptive Functions.- Learning Inherent Networks from Stochastic Search Methods.- Metaheuristics for the Pick-Up and Delivery Problem with Contracted Orders.- Modeling an Artificial Bee Colony with Inspector for Clustering Tasks.- Personalized Multi-day Trips to Touristic Regions: A Hybrid GA-VND Approach.- Phase Transition and Landscape Properties of the Number Partitioning Problem.- The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms.- The Influence of Correlated Objectives on Different Types of P-ACO Algorithms.

Автор: Heike Trautmann; G?nter Rudolph; Kathrin Klamroth;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3319541560 ISBN-13(EAN): 9783319541563
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; parallel EMO models; EMO algorithm implementations.

Автор: Hime Aguiar e Oliveira Junior
Название: Evolutionary Global Optimization, Manifolds and Applications
ISBN: 3319264664 ISBN-13(EAN): 9783319264660
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.