English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper deals with the analysis for two types of elitist variant proposed for the DASA algorithm. It is usual for the genetic algorithms to keep the best solution found in the population used from next generation. Another way to insert elitist behaviour in algorithms that construct solution is to use the most attractive components in order to obtain god quality solution, and may be the optimal ones. Based on particularities of ant colony based metaheuristics these two types of elitist behaviour were successfully applied to DASA algorithm. In this paper the efficiency of the proposed elitist variants of DASA algorithms is analyzed using experimental results. The analysis is applied to six benchmark functions from the class of high-dimensional real-parameter optimization problems.

TWO ELITIST VARIANTS OF DIFFERENTIAL ANT-STIGMERGY ALGORITHM