Title :

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization

Author(s) :

Aguirre, Hernan [Auteur]
Faculty of Engineering [Nagano]
Liefooghe, Arnaud [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Verel, Sébastien [Auteur]
Laboratoire d'Informatique Signal et Image de la Côte d'Opale [LISIC]
Tanaka, Kiyoshi [Auteur]
Faculty of Engineering [Nagano]

Scientific editor(s) :

Thomas Bartz-Beielstein
Jürgen Branke
Bogdan Filipič
Jim Smith

Conference title :

Parallel Problem Solving from Nature - PPSN XIII

City :

Ljubljana

Country :

Slovénie

Start date of the conference :

2014-09-13

Book title :

Parallel Problem Solving from Nature -- PPSN XIII13th International Conference, Ljubljana, Slovenia, September 13-17,2014, Proceedings

Journal title :

Lecture Notes in Computer Science (LNCS, volume 8672)

Publisher :

Springer International Publishing

Publication date :

2014-09-24

HAL domain(s) :

Informatique [cs]/Intelligence artificielle [cs.AI]

English abstract : [en]

This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several search-assessment indicators are defined to ...
Show more >This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several search-assessment indicators are defined to trace the dynamics of survival selection and measure the ability to simultaneously keep optimal solutions and discover new ones under different population sizes, set as a fraction of the size of the Pareto optimal set.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL