The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …

A metaheuristic algorithm called Harris hawks optimization (HHO) is gaining its popularity
among its clan and useful for optimization. In this algorithm, the prey gets completely …

The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …

This paper proposes a novel non-probabilistic structural damage identification approach by
developing a hybrid swarm intelligence technique based on Jaya and Tree Seeds Algorithm …

Gravitational search algorithm (GSA) is a recently introduced meta-heuristic that has shown
great performance in numerical function optimization and solving real world problems. GSA …

Metaheuristic algorithms are one of the methods used to solve optimization problems and
find global or close to optimal solutions at a reasonable computational cost. As with other …

Metaheuristic algorithms are easy, flexible and nature-inspired algorithms used to optimize
functions. To make metaheuristic algorithms better, multiple algorithms are combined and …

In this paper, we investigate a single machine scheduling problem (SMSP). We try to reach
the optimal or near optimal solution which minimize the sum of three objective functions …

Data Mining is the most dealt and emerging research area for extraction of useful data
nowadays. This is due to the growth of increasing demand of digitization of data in various …