Applied Parallel Computing. Industrial Computation and Optimization, Jerzy Wasniewski; Jack Dongarra; Kaj Madsen; Dorte

Автор: Jack Dongarra; Kaj Madsen; Jerzy Wasniewski
Название: Applied Parallel Computing. Computations in Physics, Chemistry and Engineering Science
ISBN: 3540609024 ISBN-13(EAN): 9783540609025
Издательство: Springer
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Цена: 93160.00 T
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Описание: Presenting the proceedings of this international workshop, this text discusses the co-operation of different scientific communities in computational science, concentrating especially on many widely-used numerical algorithms and their applications on parallel computers.

Автор: Pekka Manninen; Per ?ster
Название: Applied Parallel and Scientific Computing
ISBN: 3642368026 ISBN-13(EAN): 9783642368028
Издательство: Springer
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Цена: 46570.00 T
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Описание: This volume constitutes the refereed proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012, held in Helsinki, Finland, in June 2012.

Автор: Peter I. Cowling; Peter Merz
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3642121381 ISBN-13(EAN): 9783642121388
Издательство: Springer
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Цена: 69870.00 T
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Описание: Constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2010, held in Instanbul, Turkey, in April 2010. This book discusses developments and applications in metaheuristics.

Автор: Carlos Cotta; Peter I. Cowling
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3642010083 ISBN-13(EAN): 9783642010088
Издательство: Springer
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Цена: 65210.00 T
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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: Gabriela Ochoa; Francisco Chicano
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3319164678 ISBN-13(EAN): 9783319164670
Издательство: Springer
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Цена: 44720.00 T
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Описание: A Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem.- A Computational Comparison of Different Algorithms for Very Large p-median Problems.- A New Solution Representation for the Firefighter Problem.- A Variable Neighborhood Search Approach for the Interdependent Lock Scheduling Problem.- A Variable Neighborhood Search for the Generalized Vehicle Routing Problem with Stochastic Demands.- An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows.- Analysis of Solution Quality of a Multi objective Optimization-Based Evolutionary Algorithm for Knapsack Problem.- Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization.- Hyper-heuristic Operator Selection and Acceptance Criteria.- Improving the Performance of the Germinal Center Artificial Immune System Using ε-Dominance: A Multi-objective Knapsack Problem.- Mixing Network Extremal Optimization for Community Structure Detection.- Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogeneous Electric Vehicles.- On the Complexity of Searching the Linear Ordering Problem Neighborhoods.- Runtime Analysis of (1 + 1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on ONEMAX+ZEROMAX Problem.- The New Memetic Algorithm HEAD for Graph Coloring: An Easy Way for Managing Diversity.- The Sim-EA Algorithm with Operator Auto adaptation for the Multi objective Firefighter Problem.- True Pareto Fronts for Multi-objective AI Planning Instances.- Upper and Lower Bounds on Unrestricted Black-Box Complexity of JUMPn, l.- Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling

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: Francisco Chicano; Bin Hu; Pablo Garc?a-S?nchez
Название: Evolutionary Computation in Combinatorial Optimization
ISBN: 3319306979 ISBN-13(EAN): 9783319306971
Издательство: Springer
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Цена: 46590.00 T
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Описание: A Hybrid Constructive Mat-Heuristic Algorithm for The Heterogeneous Vehicle Routing Problem with Simultaneous Pick-up and Delivery.- A Property Preserving Method for Extending a Single-Objective Problem Instance to Multiple Objectives with Specific Correlations.- An Evolutionary Approach to the Full Optimization of the Traveling Thief Problem.- Construct, Merge, Solve & Adapt: Application to the Repetition-Free Longest Common Subsequence Problem.- Deconstructing the Big Valley Search Space Hypothesis.- Determining the Difficulty of Landscapes by PageRank Centrality in Local Optima Networks.- Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization.- Evaluating Hyperheuristics and Local Search Operators for Periodic Routing Problems.- Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance.- Experimental Evaluation of Two Approaches to Optimal Recombination for Permutation Problems.- Hyperplane Elimination for Quickly Enumerating Local Optima.- Limits to Learning in Reinforcement Learning Hyperheuristics.- Modifying Colourings between Time-Steps to Tackle Changes in Dynamic Random Graphs.- Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.- Particle Swarm Optimization for Multi-Objective Web Service Location Allocation.- Sim-EDA: A Multipopulation Estimation of Distribution Algorithm Based on Problem Similarity.- Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization.

Автор: Krassimir Georgiev; Michail Todorov; Ivan Georgiev
Название: Advanced Computing in Industrial Mathematics
ISBN: 3319655299 ISBN-13(EAN): 9783319655291
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas, bringing together mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.

Автор: Paris Christos Kanellakis; Alex Allister Shvartsma
Название: Fault-Tolerant Parallel Computation
ISBN: 0792399226 ISBN-13(EAN): 9780792399223
Издательство: Springer
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Цена: 139710.00 T
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Описание: Presents advances in algorithmic ways of introducing fault-tolerance in multiprocessors under the constraint of preserving efficiency. This monograph takes the reader on the tour of this field summarizing results and identifying hard open problems. It is useful for academic and industrial researchers and graduate students.

Автор: Jack Dongarra; Jerzy Wasniewski
Название: Parallel Scientific Computing
ISBN: 3540587128 ISBN-13(EAN): 9783540587125
Издательство: Springer
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Цена: 97820.00 T
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Описание: This review of developments in the field of parallel methods includes a summary of high-speed computing facilities, including different parallel and vector computers as well as workstation clusters. Important numerical algorithms, particularly computational linear algebra, are examined.

Автор: Michel Cosnard; Afonso Ferreira; Joseph Peters
Название: Parallel and Distributed Computing: Theory and Practice
ISBN: 3540580786 ISBN-13(EAN): 9783540580782
Издательство: Springer
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Цена: 65210.00 T
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Описание: Presents an overview of current research topics in the field of parallel computing, including parallel algorithms and complexity, interconnection networks and distributed computing, algorithms for unstructured problems, and structured communications.

Автор: F?sun ?zg?ner; Fikret Ercal
Название: Parallel Computing on Distributed Memory Multiprocessors
ISBN: 3540562958 ISBN-13(EAN): 9783540562955
Издательство: Springer
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Цена: 194730.00 T
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Описание: Distributed memory multiprocessors - parallel computers that consist of microprocessors interconnected in a regular topology - are increasingly being used to solve large problems in many applications. This NATO ASI volume examines the restructuring of computations for such machines.