The proceedings contain 116 papers. The special focus in this conference is on Formal theory, New techniques, Experimental analysis, Multiobjective optimization, Hybrid methods, and applications. The topics include: C...
ISBN:
(纸本)3540876995
The proceedings contain 116 papers. The special focus in this conference is on Formal theory, New techniques, Experimental analysis, Multiobjective optimization, Hybrid methods, and applications. The topics include: Convergence Analysis of Evolution trategies with Random Numbers of Offspring Multiobjectivization by Decomposition of Scalar Cost Functions, A Blend of Markov-Chain and Drift Analysis, On Multiplicative Noise Models for Stochastic Search, Premature Convergence in Constrained Continuous Search Spaces, Approximating Minimum Multicuts by evolutionary Multi-objective Algorithms, Simplified Drift Analysis for Proving Lower Bounds in evolutionarycomputation, Ignoble Trails - Where Crossover Is Provably Harmful, Lower Bounds for Evolution Strategies Using VC-Dimension, Rigorous Runtime Analysis of Inversely Fitness Proportional Mutation Rates, Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy, Enhancing the Performance of Maximum - Likelihood Gaussian EDAs Using Anticipated Mean Shift, New Approaches to Coevolutionary Worst-Case Optimization, bio-inspired Search and Distributed Memory Formation on Power-Law Networks, Enhancing the Efficiency of the ECGA, Extreme Value Based Adaptive Operator Selection, Uncertainty Handling in Model Selection for Support Vector Machines, Niche Radius Adaptation with Asymmetric Sharing, Adaptive Encoding: How to Render Search Coordinate System Invariant, Supervised and evolutionary Learning of Echo State Networks, Dynamic Cooperative Coevolutionary Sensor Deployment Via Localized Fitness Evaluation, On the Run-Time Dynamics of a Peer-to-Peer evolutionary Algorithm, Mixed-Integer Evolution Strategies with Dynamic Niching, A Compass to Guide Genetic Algorithms, and Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme evolutionary Algorithms.
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