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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Seru  production can be used to enhance productivity, such as makespan reduction and manpower saving.  Seru  system operation includes two NP-hard problems, i.e.,  seru  formation and  seru  scheduling. The exact solution cannot be obtained by solving only one of  seru  formation and  seru  scheduling. We develop a cooperative coevolution algorithm for the  Seru  production with minimizing makespan by solving the  seru  formation and  seru  scheduling simultaneously. The cooperative coevolution algorithm includes two evolution algorithms, i.e., the algorithm combining generic algorithm and local search, and the ant colony optimization algorithm. The former algorithm is used to deal with the evolution of  seru  formation. The latter is used to find a better  seru  scheduling. In the cooperative mechanism, the two algorithms cooperate to seek a better solution of  seru  system operation. Finally, extensive-tested experiments show that the proposed cooperative coevolution algorithm can obtain a better solution than all the existing algorithms and, even, can obtain the exact solution for some medium-and-small instances.

A Cooperative Coevolution Algorithm for the <italic>Seru</italic> Production With Minimizing Makespan