Table of Contents

• 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

About the Author

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.