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”

A self-adaptive spherical search algorithm for real-world constrained optimization problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247258" target="_blank" >RIV/61989100:27240/20:10247258 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/20:10247258

  • Result on the web

    <a href="https://dl.acm.org/doi/pdf/10.1145/3377929.3398186" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3377929.3398186</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3377929.3398186" target="_blank" >10.1145/3377929.3398186</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A self-adaptive spherical search algorithm for real-world constrained optimization problems

  • Original language description

    Determination of the global optimum of complex non-convex optimization problems of the real-world applications has remained a challenging task. Many researchers have been developing various types of effective direct search-based methods to tackle these problems. In this paper, we introduce a new variant of the recently developed Spherical Search (SS) algorithm, which contains a powerful and effective self-adaptation structure to enhance the performance. To analyze the performance, proposed algorithm is tested on the 57 test problems collected from different real-world applications. The obtained results statistically confirm the efficacy and efficiency of the proposed algorithm. (C) 2020 Owner/Author.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

  • ISBN

    978-1-4503-7128-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    13-14

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Cancún

  • Event date

    Jul 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article