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  1. 1

    New horizons of parallel and distributed computing by SpringerLink (Online service)

    Published: Springer, 2005
    Description: 1 online resource (xiv, 333 pages) : illustrations.
    SpringerLink - Click here for access
    eBook
  2. 2

    Advances in parallel and distributed computing and ubiquitous services : UCAWSN & PDCAT 2015 by SpringerLink (Online service), UCAWSN (Conference), PDCAT (Conference)

    Published: Springer, 2016
    Description: 1 online resource : illustrations.
    Contents: “…Wu, et al -- Hierarchical Caching Management for Software Defined Content Network Based on Node Value; J. Liu, et al -- Interoperation of Distributed MCU Emulator/Simulator for Operating Power Simulation of Large-Scale Internet of Event-Driven Control Things; S. …”
    SpringerLink - Click here for access
    Conference Proceeding eBook
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    Parallel problem solving from nature - PPSN XI : 11th International conference, Kraków, Poland, September 11-15, 2010 : proceedings. Part I by International Conference on Parallel Problem Solving from Nature Kraków, Poland, SpringerLink (Online service)

    Published: Springer, 2010
    Description: 1 online resource (xxi, 742 pages) : illustrations (some color).
    Contents: “…-Distributions for the Hypervolume Indicator: First Results for Three Objectives -- Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms -- Tight Bounds for the Approximation Ratio of the Hypervolume Indicator -- Evolutionary Multiobjective Optimization Algorithm as a Markov System -- A Natural Evolution Strategy for Multi-objective Optimization -- Solving Multiobjective Optimization Problem by Constraint Optimization -- Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization -- Objective Space Partitioning Using Conflict Information for Many-Objective Optimization -- How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem -- Path Relinking on Many-Objective NK-Landscapes -- In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms -- Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization -- Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search -- On Expected-Improvement Criteria for Model-based Multi-objective Optimization -- Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization.…”
    SpringerLink - Click here for access
    Conference Proceeding eBook