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Parallel Problem Solving from Nature, PPSN XI : 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part I / edited by Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Schaefer, Robert, 1954- editor.
Cotta, Carlos, editor.
Kołodziej, Joanna, editor.
Rudolph, Günter, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 6238.
Theoretical Computer Science and General Issues ; 6238
Language:
English
Subjects (All):
Bioinformatics.
Artificial intelligence.
Computers.
Algorithms.
Pattern perception.
Computer science--Mathematics.
Computer science.
Computational Biology/Bioinformatics.
Artificial Intelligence.
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Pattern Recognition.
Discrete Mathematics in Computer Science.
Local Subjects:
Computational Biology/Bioinformatics.
Artificial Intelligence.
Computation by Abstract Devices.
Algorithm Analysis and Problem Complexity.
Pattern Recognition.
Discrete Mathematics in Computer Science.
Physical Description:
1 online resource (XXI, 742 pages) : 211 illustrations.
Edition:
First edition 2010.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
System Details:
text file PDF
Contents:
Theory of Evolutionary Computing (I)
Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem
Mirrored Sampling and Sequential Selection for Evolution Strategies
Optimisation and Generalisation: Footprints in Instance Space
Adaptive Drift Analysis
Optimizing Monotone Functions Can Be Difficult
Log-Linear Convergence of the Scale-Invariant (?/? w ,?)-ES and Optimal ? for Intermediate Recombination for Large Population Sizes
Exploiting Overlap When Searching for Robust Optima
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis
One-Point Geometric Crossover
When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure
First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes
Differential Mutation Based on Population Covariance Matrix
General Lower Bounds for the Running Time of Evolutionary Algorithms
A Binary Encoding Supporting Both Mutation and Recombination
Towards Analyzing Recombination Operators in Evolutionary Search
Theory of Evolutionary Computing (II)
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies
A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes
Drift Analysis with Tail Bounds
More Effective Crossover Operators for the All-Pairs Shortest Path Problem
Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution
Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation
An Archive Maintenance Scheme for Finding Robust Solutions
Experimental Supplements to the Theoretical Analysis of Migration in the Island Model
General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms
Negative Drift in Populations
Log(?) Modifications for Optimal Parallelism
The Linkage Tree Genetic Algorithm
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments
Machine Learning, Classifier Systems, Image Processing
Evolutionary Learning of Technical Trading Rules without Data-Mining Bias
Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System
Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation
Globally Induced Model Trees: An Evolutionary Approach
Open-Ended Evolutionary Robotics: An Information Theoretic Approach
A Novel Similarity-Based Crossover for Artificial Neural Network Evolution
Indirect Encoding of Neural Networks for Scalable Go
Comparison-Based Optimizers Need Comparison-Based Surrogates
A Cooperative Coevolutionary Approach to Partitional Clustering
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction
The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies
Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography
Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions
Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming
Memetic Algorithms, Hybridized Techniques, Meta and Hyperheurisics
A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem
Ownership and Trade in Spatial Evolutionary Memetic Games
A Hyper-Heuristic Approach to Strip Packing Problems
Asymptotic Analysis of Computational Multi-Agent Systems
Path-Guided Mutation for Stochastic Pareto Local Search Algorithms
Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics
Graph Clustering Based Model Building
How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms
Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover
Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem
A Study of Multi-parent Crossover Operators in a Memetic Algorithm
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model
Multiobjective Optimization, Theoretical Aspects
Theoretically Investigating Optimal ?-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.
Other Format:
Printed edition:
ISBN:
978-3-642-15844-5
9783642158445
Access Restriction:
Restricted for use by site license.

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