Ebook: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
- Tags: Computational Intelligence, Artificial Intelligence (incl. Robotics), Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Mathematical Models of Cognitive Processes and Neural Networks, Operation Research/
- Series: Advances in Intelligent Systems and Computing 175
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages 1-21
Front Matter....Pages 1-1
Control of Nonlinear Dynamic Systems with the Cell Mapping Method....Pages 3-18
Empirical Analysis of a Stochastic Approximation Approach for Computing Quasi-stationary Distributions....Pages 19-37
Front Matter....Pages 39-39
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty....Pages 41-56
Analysis and Classification of Epilepsy Stages with Genetic Programming....Pages 57-70
Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming....Pages 71-86
Front Matter....Pages 87-87
Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems....Pages 89-105
Software Requirements Optimization Using Multi-Objective Quantum-Inspired Hybrid Differential Evolution....Pages 107-120
Evolving a Pareto Front for an Optimal Bi-objective Robust Interception Problem with Imperfect Information....Pages 121-135
PSA – A New Scalable Space Partition Based Selection Algorithm for MOEAs....Pages 137-151
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms....Pages 153-168
Front Matter....Pages 169-169
A Hyperheuristic Approach for Guiding Enumeration in Constraint Solving....Pages 171-188
Maximum Parsimony Phylogenetic Inference Using Simulated Annealing....Pages 189-203
Front Matter....Pages 205-205
A Bayesian Network Based Critical Infrastructure Risk Model....Pages 207-218
Front Matter....Pages 219-219
Adequate Variance Maintenance in a Normal EDA via the Potential-Selection Method....Pages 221-235
Linkage Learning Using Graphical Markov Model Structure: An Experimental Study....Pages 237-249
A Comparison Study of PSO Neighborhoods....Pages 251-265
Front Matter....Pages 267-282
Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories....Pages 283-283
Segmentation of Blood Cell Images Using Evolutionary Methods....Pages 285-297
Fast Circle Detection Using Harmony Search Optimization....Pages 299-311
Front Matter....Pages 313-325
Particle Swarm Optimization Applied to Interferogram Demodulation....Pages 283-283
Evolving Conspicuous Point Detectors for Camera Trajectory Estimation....Pages 327-337
Purposive Evolution for Object Recognition Using an Artificial Visual Cortex....Pages 339-353
Evolving an Artificial Dorsal Stream on Purpose for Visual Attention....Pages 355-370
Comparison of Two Evolutionary Approaches for the Polygonal Approximation of Digital Curves....Pages 371-385
Evolution of Contours for Topology Optimization....Pages 387-395
Front Matter....Pages 397-412
Multi-Objective Particle Swarm Optimisation for Molecular Transition State Search....Pages 413-413
A Multi-Objective Extremal Optimisation Approach Applied to RFID Antenna Design....Pages 415-430
Wasp Colony with a Multiobjective Local Optimizer for Dynamic Task Planning in a Production Plant....Pages 431-446
Optimization Metaheuristic for Software Testing....Pages 447-461
Stochastic Optimisation in Computational Engineering Design....Pages 463-474
Evolutionary Algorithms and Water Resources Optimization....Pages 475-490
Back Matter....Pages 491-506
....Pages 0--1