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 …

The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …

Keeping in view of the limitations of the traditional optimization techniques, the researchers
have developed a number of advanced optimization algorithms popularly known as …

A dynamic parameter inverse analysis process for concrete dams based on Gaussian
process regression and Jaya algorithm is presented. Gaussian process regression is used …

This paper presents a rapid static parameter inverse method for concrete-faced rockfill dams
based on displacement data using an improved cloud surrogate model and the Jaya …

Plate-fin heat exchangers (PFHE) are crucial for engineering applications. Pursuing high
performance in PFHE design through optimal methods is common, yet challenging for …

In this study, an optimization technique combined with a Random Vector Functional Link
(RVFL) network in the form of a surrogate-assisted approach was carried out for the optimal …

Brain abnormality is a cause for the chief risk factors in human society with larger morbidity
rate. Identification of tumor in its early stage is essential to provide necessary treatment …

This literature review presents the extensive literature survey of various heat exchangers
(HEs) for the design optimization using advanced optimization techniques concerning with …

This paper introduces a robust and global algorithm, the multi-objective version of the Set
Trimming method (MOST). The application of MOST is demonstrated through optimization of …