Abstract The Vortex Search Algorithm (VSA) is a meta-heuristic algorithm that has been
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …

Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …

With the deepening of the power market reform on the retail side, it is of great significance to
study the economic optimization of the microgrid cluster system. Aiming at the economics of …

In this paper, we propose a new method for disjoint principal component analysis based on
an intelligent search. The method consists of a principal component analysis with …

The aim of the clustering is representing the huge amount of data objects by a smaller
number of clusters or groups based on similarity. It is a task of good data analysis tool that …

Data clustering is a technique for dividing data objects into groups based on their similarity.
K-means is a simple, effective algorithm for clustering. But, k-means tends to converge to …

This paper presents a novel chaotic augmented Lagrange method for solving constrained
optimization problems. The algorithm employs chaotic maps to reduce the search space and …

Particle swarm optimization (PSO) is a computational method for finding optimal solutions in
a random search space. PSO is a heuristic global optimization method, suggested by …

Nature-inspired optimization algorithms refer to techniques that simulate the behavior and
ecosystem of living organisms or natural phenomena. One such technique is the …

In the WSN network, nodes are always deprived of battery and can't be in operation for a
long time. Some nodes may die sooner than others, creating a void in the area. Our work in …