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 article proposes and suggested improves real-coded genetic algorithm (IRCGA) for optimal scheduling of thermal plants in coordination with fixed head hydro units. Genetic algorithm (GA) is based on inbred operation of human chromosomes. GA has the ability to establish the global or very close to the global optima. Here, in this article to heighten convergence speed and solution quality the IRCGA method has been recommended. Two different test systems have been used here to verify the effectiveness of the proposed IRCGA method. The results obtained from the emerged IRCGA method have been compared with other evolutionary techniques. The simulation results from different test systems demonstrate that the proposed IRCGA algorithm has the capability to generate better result.

Improved Real-Coded Genetic Algorithm for Fixed Head Hydrothermal Power System