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

Collective computational intelligence is one of the best ways in problem solving and optimisation since it allows putting collective effort together from a verity of computational methods and well harmonise it. Optimisation problems are very well known hard engineering problems, which have been challenged with various approaches since ever. A category of problem solving approaches for optimisation is known as metaheuristics with which particular problem solving frameworks are implemented with domain information and used to attempt problem solving intelligently. Optimisation is naturally an iterative process in which a search algorithm is devised to look for a feasible solution that provides the best benefit with respect to performance criterion. Any global or local search algorithm designed for optimisation starts with an initial solution and iteratively looks for the best solution with the devised search procedure. Among the approaches, heuristic-based search algorithms are classified as individual-based methods and population-based methods. Collective intelligence is achieved with the techniques including population-based problem solving approaches.

Agentification of Individuals: A Multi-Agent Approach to Metaheuristics