Genetic and Evolutionary Methods

Hamid R. Arabnia (Redaktør) ; Ray R. Hashemi (Redaktør) ; George Jandieri (Redaktør) ; Ashu M. G. Solo (Redaktør) ; Fernando G. Tinetti (Redaktør)

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '13, an international conference that serves researchers, scholars, professionals, students, and academicians. Les mer
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Vår pris: 538,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 7 virkedager

Om boka

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '13, an international conference that serves researchers, scholars, professionals, students, and academicians.

Selected topics include:


Multi-Objective Optimization + Combinatorial Optimization + Agent-Based Algorithms + Computational Biology
Swarm Optimization Algorithms and Applications
Evolutionary Algorithms and Strategies
Genetic Algorithms and Applications + Genetic Programming
Evolutionary Optimization And Genetic Algorithms

Fakta

Innholdsfortegnelse

Session: Multi-Objective Optimization + Combinatorial Optimization + Agent-Based Algorithms + Computational Biology
1) Emergent System Effects from Microscopic Evasion Choices in a Predator-Prey Simulation
2) Increasing the Density of Multi-Objective Multi-Modal Solutions using Clustering and Pareto Estimation Techniques
3) Cancer Genome Assembly and Alignment
4) Constructing Wedding Seating Plans: A Tabu Subject
Session: Swarm Optimization Algorithms and Applications
1) Solving Traveling Salesman Problem Using Reinforced Ant Colony Optimization Techniques
2) Harmonic Estimation in Radial Distribution Feeders Based on Particle Swarm Optimization
3) Emission Source Localization Using the Firefly Algorithm
4) A Fast Parameter Setting Strategy for Particle Swarm Optimization and Its Application in Urban Water Distribution Network Optimal Design
Session: Evolutionary Algorithms and Strategies
1) Evolutionary Routing Strategies for Automotive Networks
2) Evac: An Evolutionary Accompanist
3) Comparison of Uncorrelated and Correlated Evolutionary Strategies with Proposed Additional Geometric Translations
4) Evolutionary Path Algorithm: A Simple and Extensible Metaheuristic for Global Optimization
Session: Genetic Algorithms and Applications + Genetic Programming
1) Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units
2) A Genetic-Based Nurse Rostering Tool: A Riyadh Hospital Case
3) A Genetic Algorithm for Multiprocessor Task Scheduling
4) Prediction of Potential West Nile Virus (WNV) Disease Distribution in the US Based on Year 2000 New York State Avian WNV Mortality
5) A Chaotic Genetic Algorithm for Radio Spectrum Allocation
6) A Genetic Algorithm for Node Localization in Wireless Sensor Networks
Session: Evolutionary Optimization and Genetic Algorithms
1) Multi-objective Evolutionary Optimization of Cloud Service Provider Selection Problems
2) Validation of an Attributes Selection System Through Genetic Algorithms for ICU on Severely Burnt Patients (AG-PxQ) According to its Usability on the Clinic

Om forfatteren

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.