Advances in Multi-Objective Nature Inspired Computing
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivati...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
|
Σειρά: | Studies in Computational Intelligence,
272 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.