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/

Zendy Plus

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

Zendy Tools

Zendy Open

Evolutionary Multi-Objective Optimization is becoming a hot research area andquite a few papers regarding these algorithms have been published. However therole of local search techniques has not been expanded adequately. This paperstudies the role of a local search technique called 2-opt for theMulti-Objective Travelling Salesman Problem (MOTSP). A new mutation operatorcalled Jumping Gene (JG) is also used. Since 2-opt operator was intended forthe single objective TSP, its domain has been expanded to MOTSP in this paper.This new technique is applied to the list of KroAB100 cities.

Application of the Modified 2-opt and Jumping Gene Operators in Multi-Objective Genetic Algorithm to solve MOTSP