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

An algorithm called ACO-FA is proposed which incorporates concepts from ant colony optimization (ACO) and firefly algorithm (FA). The methodology of the proposed algorithm is introduced based on a refining mechanism of ACO and FA for updating the solutions of ACO-FA. Moreover, the evolutions of these solutions are performed by using feasibility rule that maintain the solutions with lower degrees of constraint violations. The proposed algorithm ACO-FA is tested on several benchmark functions. Numerical comparisons with different hybrid meta-heuristics demonstrate its effectiveness and efficiency. An algorithm called ACO-FA is proposed which incorporates concepts from ant colony optimization (ACO) and firefly algorithm (FA). The methodology of the proposed algorithm is introduced based on a refining mechanism of ACO and FA for updating the solutions of ACO-FA. Moreover, the evolutions of these solutions are performed by using feasibility rule that maintain the solutions with lower degrees of constraint violations. The proposed algorithm ACO-FA is tested on several benchmark functions. Numerical comparisons with different hybrid meta-heuristics demonstrate its effectiveness and efficiency. Index Terms Ant colony optimization; Firefly algorithm; constrained optimization

A HYDRID OPTIMIZATION ALGORITHM FOR SOLVING CONSTRAINED ENGINEERING DESIGN PROBLEMS