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

Artificial immune system can be used to generate schedules in changingenvironments and it has been proven to be more robust than schedules developedusing a genetic algorithm. Good schedules can be produced especially when thenumber of the antigens is increased. However, an increase in the range of theantigens had somehow affected the fitness of the immune system. In thisresearch, we are trying to improve the result of the system by rescheduling thesame problem using the same method while at the same time maintaining therobustness of the schedules.

Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments