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

We propose a multi-objective optimization algorithm aimed at achieving goodanytime performance over a wide range of problems. Performance is assessed interms of the hypervolume metric. The algorithm called HMO-CMA-ES represents ahybrid of several old and new variants of CMA-ES, complemented by BOBYQA as awarm start. We benchmark HMO-CMA-ES on the recently introduced bi-objectiveproblem suite of the COCO framework (COmparing Continuous Optimizers),consisting of 55 scalable continuous optimization problems, which is used bythe Black-Box Optimization Benchmarking (BBOB) Workshop 2016.

Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)