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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Coello Coello, Carlos A. (Επιμελητής έκδοσης), Dhaenens, Clarisse (Επιμελητής έκδοσης), Jourdan, Laetitia (Επιμελητής έκδοσης)
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.