All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Hypervolume-Based Surrogate Model for MO-CMA-ES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10317485" target="_blank" >RIV/00216208:11320/15:10317485 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7372189" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7372189</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICTAI.2015.93" target="_blank" >10.1109/ICTAI.2015.93</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hypervolume-Based Surrogate Model for MO-CMA-ES

  • Original language description

    Evolutionary algorithms are among the best multi-objective optimizers, but the large number of objective function evaluations they require makes it hard to use them to solve certain real-life tasks. In this work we present a surrogate-based local searchfor the multi-objective covariance matrix adaption evolution strategy (MO-CMA-ES). The local search is based on the estimation of hypervolume contribution of each individual and maximization of this contribution. This work extends our previous work and makes such surrogate models applicable to problems with more than two objectives. Moreover, it uses a unique feature of MO-CMA-ES to make the local search more effective. The results indicate that the algorithm can find solutions of the same quality as MO-CMA-ES while using 30-50 percent less objective function evaluations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on

  • ISBN

  • ISSN

    1082-3409

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    604-611

  • Publisher name

    IEEE

  • Place of publication

    Neuveden

  • Event location

    Vietri sul Mare, Itálie

  • Event date

    Nov 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article