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Parallel Problem Solving from Nature - PPSN XII

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Cover of 'Parallel Problem Solving from Nature - PPSN XII'

Table of Contents

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    Book Overview
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    Chapter 1 Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution
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    Chapter 2 Exploiting Prior Information in Multi-objective Route Planning
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    Chapter 3 Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization
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    Chapter 4 Clustering Criteria in Multiobjective Data Clustering
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    Chapter 5 Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System
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    Chapter 6 Bootstrapping Aggregate Fitness Selection with Evolutionary Multi-Objective Optimization
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    Chapter 7 Network Topology Planning Using MOEA/D with Objective-Guided Operators
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    Chapter 8 Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt
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    Chapter 9 An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction
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    Chapter 10 MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems
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    Chapter 11 A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems
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    Chapter 12 Multi-objective Optimization for Selecting and Scheduling Observations by Agile Earth Observing Satellites
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    Chapter 13 Tailoring ε-MOEA to Concept-Based Problems
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    Chapter 14 Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems
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    Chapter 15 An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem
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    Chapter 16 Controlling the Parameters of the Particle Swarm Optimization with a Self-Organized Criticality Model
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    Chapter 17 The Apiary Topology: Emergent Behavior in Communities of Particle Swarms
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    Chapter 18 ACO on Multiple GPUs with CUDA for Faster Solution of QAPs
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    Chapter 19 It’s Fate: A Self-organising Evolutionary Algorithm
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    Chapter 20 Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching
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    Chapter 21 Animal Spirits in Population Spatial Dynamics
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    Chapter 22 Autonomous Shaping via Coevolutionary Selection of Training Experience
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    Chapter 23 A Parallel Cooperative Co-evolutionary Genetic Algorithm for the Composite SaaS Placement Problem in Cloud Computing
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    Chapter 24 Community Detection Using Cooperative Co-evolutionary Differential Evolution
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    Chapter 25 On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments
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    Chapter 26 Buildable Objects Revisited
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    Chapter 27 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 28 Global Equilibrium Search Algorithms for Combinatorial Optimization Problems
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    Chapter 29 A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices
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    Chapter 30 A Memetic Approach for the Max-Cut Problem
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    Chapter 31 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 32 Optimizing Cellular Automata through a Meta-model Assisted Memetic Algorithm
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    Chapter 33 A Memetic Algorithm for Community Detection in Complex Networks
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    Chapter 34 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 35 A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution
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    Chapter 36 A Framework to Hybridize PBIL and a Hyper-heuristic for Dynamic Environments
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    Chapter 37 Parallelization Strategies for Hybrid Metaheuristics Using a Single GPU and Multi-core Resources
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    Chapter 38 Adaptive Operator Selection at the Hyper-level
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    Chapter 39 Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP
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    Chapter 40 A Comparative Study of Three GPU-Based Metaheuristics
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    Chapter 41 The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics
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    Chapter 42 Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework
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    Chapter 43 Applying Genetic Regulatory Networks to Index Trading
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    Chapter 44 Evolutionary 3D-Shape Segmentation Using Satellite Seeds
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    Chapter 45 Benchmarking CHC on a New Application: The Software Project Scheduling Problem
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    Chapter 46 Automatic Evaluation Methods in Evolutionary Music: An Example with Bossa Melodies
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    Chapter 47 Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing
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    Chapter 48 Beware the Parameters: Estimation of Distribution Algorithms Applied to Circles in a Square Packing
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    Chapter 49 Block Diagonal Natural Evolution Strategies
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    Chapter 50 Finding Good Affinity Patterns for Matchmaking Parties Assignment through Evolutionary Computation
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    Chapter 51 A Benchmark Generator for Dynamic Permutation-Encoded Problems
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    Chapter 52 Evolving Femtocell Algorithms with Dynamic and Stationary Training Scenarios
Attention for Chapter 42: Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework
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Chapter title
Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework
Chapter number 42
Book title
Parallel Problem Solving from Nature - PPSN XII
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-32964-7_42
Book ISBNs
978-3-64-232963-0, 978-3-64-232964-7
Authors

Gabriela Ochoa, James Walker, Matthew Hyde, Tim Curtois, Ochoa, Gabriela, Walker, James, Hyde, Matthew, Curtois, Tim

Editors

Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
Vietnam 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 8 21%
Student > Master 4 11%
Lecturer 3 8%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 9 24%
Readers by discipline Count As %
Computer Science 19 50%
Engineering 2 5%
Business, Management and Accounting 1 3%
Agricultural and Biological Sciences 1 3%
Chemical Engineering 1 3%
Other 4 11%
Unknown 10 26%