Inicio  /  Applied Sciences  /  Vol: 10 Par: 15 (2020)  /  Artículo
ARTÍCULO
TITULO

Semi-Steady-State Jaya Algorithm for Optimization

Uday K. Chakraborty    

Resumen

The Jaya algorithm is arguably one of the fastest-emerging metaheuristics amongst the newest members of the evolutionary computation family. The present paper proposes a new, improved Jaya algorithm by modifying the update strategies of the best and the worst members in the population. Simulation results on a twelve-function benchmark test-suite and a real-world problem show that the proposed strategy produces results that are better and faster in the majority of cases. Statistical tests of significance are used to validate the performance improvement.

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