In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …

In recent times, numerous innovative and specialized algorithms have emerged to tackle two
and three multi-objective types of problems. However, their effectiveness on many-objective …

The focus of multi-objective optimization is to derive a set of optimal solutions in scenarios
with multiple and often conflicting objectives. However, the ability of multi-objective …

Optimization of parameters of electrochemical machining (ECM) has attracted attention of
many researchers of late, for making use of the full capability of the machine and in that …

In the field of multi-objective optimization algorithms (MOAs), a primary challenge is
identifying an optimal solution that effectively converges to the true Pareto Front while …

The optimization problems inherently exist in various scientific and engineering domains.
The constrained and unconstrained single, bi-objective and multi-objective optimization …

A content-based image retrieval system (CBIR) needs intensity/weighted importance for
individual features of an image to find similar images in the database to achieve better …

Medical image analysis for perfect diagnosis of disease has become a very challenging
task. Due to improper diagnosis, required medical treatment may be skipped. Proper …

Wire-cut electrical discharge machining (wire-cut EDM) was the primary method for
producing Bren gun charging handlebars due to its high precision demands. However, the …

JAYA algorithm (JA) is the enormously growing population-based algorithm, combining the
Survival of the Fittest (SOF) principle and the global optimum solution from evolutionary …