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

Bio inspiration is a branch of artificial simulation science that showspervasive contributions to variety of engineering fields such as automatepattern recognition, systematic fault detection and applied optimization. Inthis paper, a new metaheuristic optimizing algorithm that is the simulation ofThe Great Salmon Run(TGSR) is developed. The obtained results imply on theacceptable performance of implemented method in optimization of complex nonconvex, multi dimensional and multi-modal problems. To prove the superiority ofTGSR in both robustness and quality, it is also compared with most of the wellknown proposed optimizing techniques such as Simulated Annealing (SA), ParallelMigrating Genetic Algorithm (PMGA), Differential Evolutionary Algorithm (DEA),Particle Swarm Optimization (PSO), Bee Algorithm (BA), Artificial Bee Colony(ABC), Firefly Algorithm (FA) and Cuckoo Search (CS). The obtained resultsconfirm the acceptable performance of the proposed method in both robustnessand quality for different bench-mark optimizing problems and also prove theauthors claim.

A natural-inspired optimization machine based on the annual migration of salmons in nature