Parallel Problem Solving from Nature, PPSN XI 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part I /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Σειρά: | Lecture Notes in Computer Science,
6238 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
