Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

An improved version of atom search optimization (ASO) algorithm is proposed in this paper.
The search capability of ASO was improved by using simulated annealing (SA) algorithm as …

Text document clustering is to divide textual contents into clusters or groups. It received wide
attention due to the vast amount of daily data from the Web. In the last decade, Meta …

This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …

Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …

Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

Several metaheuristic methods have been applied to tackling various global and
engineering optimization problems. However, this method still needs more improvement …

Abstract The Parallel Machine Scheduling Problem (PMSP) has undergone significant
development in academic literature. The most recent comprehensive review of published …

Unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup
times is considered a hot topic among the researchers, as it presents more complexity to be …