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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 Convergence of the IGO-Flow of Isotropic Gaussian Distributions on Convex Quadratic Problems
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    Chapter 2 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 3 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 4 Efficient Negative Selection Algorithms by Sampling and Approximate Counting
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    Chapter 5 Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic $\mathcal C^2$ -composite Functions
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    Chapter 6 A Parameterized Runtime Analysis of Simple Evolutionary Algorithms for Makespan Scheduling
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    Chapter 7 On Algorithm-Dependent Boundary Case Identification for Problem Classes
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    Chapter 8 Cumulative Step-Size Adaptation on Linear Functions
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    Chapter 9 On the Behaviour of the (1,λ)-σSA-ES for a Constrained Linear Problem
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    Chapter 10 An Empirical Evaluation of O(1) Steepest Descent for NK-Landscapes
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    Chapter 11 Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics
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    Chapter 12 ACO Beats EA on a Dynamic Pseudo-Boolean Function
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    Chapter 13 Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms
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    Chapter 14 Parsimony Pressure versus Multi-objective Optimization for Variable Length Representations
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    Chapter 15 An Evolutionary and Graph-Based Method for Image Segmentation
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    Chapter 16 Real-Time GPU Based Road Sign Detection and Classification
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    Chapter 17 Acceleration of Evolutionary Image Filter Design Using Coevolution in Cartesian GP
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    Chapter 18 Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOA
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    Chapter 19 Reinforcement Learning with N-tuples on the Game Connect-4
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    Chapter 20 Efficient Sampling and Handling of Variance in Tuning Data Mining Models
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    Chapter 21 A Spatial EA Framework for Parallelizing Machine Learning Methods
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    Chapter 22 Competing Mutating Agents for Bayesian Network Structure Learning
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    Chapter 23 A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems
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    Chapter 24 Pruning GP-Based Classifier Ensembles by Bayesian Networks
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    Chapter 25 A Multi-parent Search Operator for Bayesian Network Building
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    Chapter 26 Enhancing Learning Capabilities by XCS with Best Action Mapping
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    Chapter 27 Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity
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    Chapter 28 On Measures to Build Linkage Trees in LTGA
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    Chapter 29 Evolvability Analysis of the Linkage Tree Genetic Algorithm
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    Chapter 30 Alternative Restart Strategies for CMA-ES
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    Chapter 31 Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter?
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    Chapter 32 Compressed Network Complexity Search
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    Chapter 33 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 34 Generalized Compressed Network Search
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    Chapter 35 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 36 On the Anytime Behavior of IPOP-CMA-ES
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    Chapter 37 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 38 Differential Gene Expression with Tree-Adjunct Grammars
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    Chapter 39 Analysing the Effects of Diverse Operators in a Genetic Programming System
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    Chapter 40 Quantitative Analysis of Locally Geometric Semantic Crossover
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    Chapter 41 Length Scale for Characterising Continuous Optimization Problems
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    Chapter 42 Analyzing the Behaviour of Population-Based Algorithms Using Rayleigh Distribution
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    Chapter 43 Variable Transformations in Estimation of Distribution Algorithms
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    Chapter 44 Parallel Problem Solving from Nature - PPSN XII
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    Chapter 45 On Spectral Invariance of Randomized Hessian and Covariance Matrix Adaptation Schemes
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    Chapter 46 Variable Neighborhood Search and GRASP for Three-Layer Hierarchical Ring Network Design
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    Chapter 47 Extracting Key Gene Regulatory Dynamics for the Direct Control of Mechanical Systems
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    Chapter 48 An Evolutionary Optimization Approach for Bulk Material Blending Systems
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    Chapter 49 Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model
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    Chapter 50 Between Selfishness and Altruism: Fuzzy Nash–Berge-Zhukovskii Equilibrium
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    Chapter 51 A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search
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    Chapter 52 A Hybrid Approach to Piecewise Modelling of Biochemical Systems
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    Chapter 53 An Empirical Comparison of CMA-ES in Dynamic Environments
Overall attention for this book and its chapters
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Mentioned by

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Readers on

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68 Mendeley
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Title
Parallel Problem Solving from Nature - PPSN XII
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-32937-1
ISBNs
978-3-64-232936-4, 978-3-64-232937-1
Editors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Portugal 1 1%
Malaysia 1 1%
United States 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Unspecified 13 19%
Student > Master 13 19%
Professor > Associate Professor 5 7%
Lecturer 4 6%
Other 16 24%
Readers by discipline Count As %
Computer Science 38 56%
Unspecified 15 22%
Engineering 6 9%
Agricultural and Biological Sciences 4 6%
Business, Management and Accounting 3 4%
Other 2 3%

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