| Description |
1 online resource (xxiii, 506 pages : illustrations |
| Series |
Advances in intelligent systems and computing, 2194-5357 ; 175 |
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Advances in intelligent systems and computing ; 175.
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| Contents |
Part 1. Cell Mapping and Quasi-Stationary Distributions -- Control of Nonlinear Dynamic Systems with the Cell Mapping Method / Jian-Qiao Sun -- Empirical Analysis of a Stochastic Approximation Approach for Computing Quasi-stationary Distributions / Jose Blanchet, Peter Glynn and Shuheng Zheng |
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Part 2. Genetic Programming -- Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty / Edgar Galvan, Leonardo Trujillo, James McDermott and Ahmed Kattan -- Analysis and Classification of Epilepsy Stages with Genetic Programming / Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo, Luis Coria and Yuliana Martínez -- Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming / Enrique Naredo, Enrique Dunn and Leonardo Trujillo |
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Part 3. EvolutionaryMulti-objective Optimization -- Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems / Heike Trautmann, Günter Rudolph, Christian Dominguez-Medina and Oliver Schütze -- Software Requirements Optimization Using Multi-Objective Quantum-Inspired Hybrid Differential Evolution / A. Charan Kumari, K. Srinivas and M.P. Gupta -- Evolving a Pareto Front for an Optimal Bi-objective Robust Interception Problem with Imperfect Information / Gideon Avigad, Erella Eisenstadt and Valery Y. Glizer -- PSA -- A New Scalable Space Partition Based Selection Algorithm for MOEAs / Shaul Salomon, Gideon Avigad, Alex Goldvard and Oliver Schütze -- The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms / Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad and Carlos A. Coello Coello, et al |
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Part 4. Combinatorial Optimization -- A Hyperheuristic Approach for Guiding Enumeration in Constraint Solving / Broderick Crawford, Carlos Castro, Eric Monfroy, Ricardo Soto and Wenceslao Palma, et al. -- Maximum Parsimony Phylogenetic Inference Using Simulated Annealing / Jean-Michel Richer, Eduardo Rodriguez-Tello and Karla E. Vazquez-Ortiz |
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Part 5. Probabilistic Modeling and Optimization for Emerging Networks -- A Bayesian Network Based Critical Infrastructure Risk Model / Thomas Schaberreiter, Pascal Bouvry, Juha Röning and Djamel Khadraoui |
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Part 6. Hybrid Probabilistic Models for Real Parameter Optimization and their Applications -- Adequate Variance Maintenance in a Normal EDA via the Potential-Selection Method / P.S. Ivvan Valdez, Arturo Hernández-Aguirre and Salvador Botello -- Linkage Learning Using Graphical Markov Model Structure: An Experimental Study / Eunice Esther Ponce-de-Leon-Senti and Elva Diaz-Diaz -- A Comparison Study of PSO Neighborhoods / Angel Eduardo Muñoz Zavala -- hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems / José Carlos Villela Tinoco and Carlos A. Coello Coello |
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Part 7. Evolutionary Computation for Vision, Graphics, and Robotics -- Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories / Humberto Sossa, Beatriz A. Garro, Juan Villegas, Gustavo Olague and Carlos Avilés -- Segmentation of Blood Cell Images Using Evolutionary Methods / Valentín Osuna, Erik Cuevas and Humberto Sossa -- Fast Circle Detection Using Harmony Search Optimization / Erik Cuevas, Humberto Sossa, Valentín Osuna, Daniel Zaldivar and Marco Pérez-Cisneros -- Particle Swarm Optimization Applied to Interferogram Demodulation / Julio Jiménez, Humberto Sossa and Francisco Cuevas -- Evolving Conspicuous Point Detectors for Camera Trajectory Estimation / Daniel Hernández, Gustavo Olague, Eddie Clemente and León Dozal -- Purposive Evolution for Object Recognition Using an Artificial Visual Cortex / Eddie Clemente, Gustavo Olague and Leon Dozal -- Evolving an Artificial Dorsal Stream on Purpose for Visual Attention / León Dozal, Gustavo Olague and Eddie Clemente -- Comparison of Two Evolutionary Approaches for the Polygonal Approximation of Digital Curves / Paola Berenice Alvarado-Velazco and Victor Ayala-Ramirez -- Evolution of Contours for Topology Optimization / Gideon Avigad, Erella Matalon Eisenstadt, Shaul Salomon and Frederico Gadelha Guimar |
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Part 8. Real-world Application of Bio-inspired Metaheuristics -- Multi-Objective Particle Swarm Optimisation for Molecular Transition State Search / Jan Hettenhausen, Andrew Lewis, Stephen Chen, Marcus Randall and René Fournier -- A Multi-Objective Extremal Optimisation Approach Applied to RFID Antenna Design / Pedro Gómez-Meneses, Marcus Randall and Andrew Lewis -- Wasp Colony with a Multiobjective Local Optimizer for Dynamic Task Planning in a Production Plant / Luis Fernando Gutierrez-Marfileno, Eunice Ponce-de-Leon, Elva Diaz-Diaz and Leoncio Ibarra-Martinez -- Optimization Metaheuristic for Software Testing / Nashat Mansour, Hratch Zeitunlian and Abbas Tarhini -- Stochastic Optimisation in Computational Engineering Design / Timoleon Kipouros -- Evolutionary Algorithms and Water Resources Optimization / Oluwatosin Olofintoye, Josiah Adeyemo and Fred Otieno |
| 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 |
| Analysis |
Engineering |
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Artificial intelligence |
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Computational Intelligence |
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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
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Mathematical Models of Cognitive Processes and Neural Networks |
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Operations Research/Decision Theory |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
English |
| Subject |
Evolutionary computation -- Congresses
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Genetic programming (Computer science) -- Congresses
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Combinatorial optimization -- Congresses
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COMPUTERS -- General.
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Ingénierie.
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Combinatorial optimization
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Evolutionary computation
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Genetic programming (Computer science)
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Schütze, Oliver (Computer scientist)
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| ISBN |
9783642315190 |
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3642315194 |
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1283631385 |
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9781283631389 |
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9786613943835 |
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6613943835 |
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