Advances in Multi-Objective Nature Inspired Computing

Book Overview

Multi-Objective Combinatorial Optimization: Problematic and Context.- Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization.- On the Velocity Update in Multi-Objective Particle Swarm Optimizers.- Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms.- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization.- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach.- On the Performance of Local Search for the Biobjective Traveling Salesman Problem.- A Bi-objective Metaheuristic for Disaster Relief Operation Planning.

• Format: Paperback
• Language: English
• ISBN: 3642262384
• ISBN13: 9783642262388
• Release Date: May 2012
• Publisher: Springer
• Length: 195 Pages
• Weight: 0.65 lbs.
• Dimensions: 0.5" x 6.1" x 9.1"