EVOLVE-- A bridge between probability, set oriented numerics, and evolutionary computation II /

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Schu tze, Oliver (Computer scientist)
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Advances in intelligent systems and computing, 175
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-31519-0
Summary: This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.
Item Description: International conference proceedings.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and author index.
ISBN: 9783642315190 (electronic bk.)
3642315194 (electronic bk.)
Index Number: QA76
CLC: TP183-532
TP301.6-532
Contents: Cell Mapping and Quasi-Stationary Distributions --
Control of Nonlinear Dynamic Systems with the Cell Mapping Method /
Empirical Analysis of a Stochastic Approximation Approach for Computing Quasi-stationary Distributions /
Genetic Programming --
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty /
Analysis and Classification of Epilepsy Stages with Genetic Programming /
Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming /
EvolutionaryMulti-objective Optimization --
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems /
Software Requirements Optimization Using Multi-Objective Quantum-Inspired Hybrid Differential Evolution /
Evolving a Pareto Front for an Optimal Bi-objective Robust Interception Problem with Imperfect Information /
PSA - A New Scalable Space Partition Based Selection Algorithm for MOEAs /
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms /
Combinatorial Optimization --
A Hyperheuristic Approach for Guiding Enumeration in Constraint Solving /
Maximum Parsimony Phylogenetic Inference Using Simulated Annealing /
Probabilistic Modeling and Optimization for Emerging Networks --
A Bayesian Network Based Critical Infrastructure Risk Model /
Hybrid Probabilistic Models for Real Parameter Optimization and their Applications --
Adequate Variance Maintenance in a Normal EDA via the Potential-Selection Method /
Linkage Learning Using Graphical Markov Model Structure: An Experimental Study /
A Comparison Study of PSO Neighborhoods /
hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems /
Evolutionary Computation for Vision, Graphics, and Robotics --
Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories /
Segmentation of Blood Cell Images Using Evolutionary Methods /
Fast Circle Detection Using Harmony Search Optimization /
Particle Swarm Optimization Applied to Interferogram Demodulation /
Evolving Conspicuous Point Detectors for Camera Trajectory Estimation /
Purposive Evolution for Object Recognition Using an Artificial Visual Cortex /
Evolving an Artificial Dorsal Stream on Purpose for Visual Attention /
Comparison of Two Evolutionary Approaches for the Polygonal Approximation of Digital Curves /
Evolution of Contours for Topology Optimization /
Real-world Application of Bio-inspired Metaheuristics --
Multi-Objective Particle Swarm Optimisation for Molecular Transition State Search /
A Multi-Objective Extremal Optimisation Approach Applied to RFID Antenna Design /
Wasp Colony with a Multiobjective Local Optimizer for Dynamic Task Planning in a Production Plant /
Optimization Metaheuristic for Software Testing /
Stochastic Optimisation in Computational Engineering Design /
Evolutionary Algorithms and Water Resources Optimization /