The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

This paper presents an in‐depth survey and performance evaluation of cat swarm
optimization (CSO) algorithm. CSO is a robust and powerful metaheuristic swarm‐based …

This study introduces the extension of currently developed Seagull Optimization Algorithm
(SOA) in terms of multi-objective problems, which is entitled as Multi-objective Seagull …

Due to the novelty of the Grey Wolf Optimizer (GWO), there is no study in the literature to
design a multi-objective version of this algorithm. This paper proposes a Multi-Objective …

Bio-inspired computing represents the umbrella of different studies of computer science,
mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is …

Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …

Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …

In this paper, a multi-objective version of the recently proposed marine predator algorithm
(MPA) is presented, which is called the multi-objective marine predator algorithm (MOMPA) …

This paper proposes a multi-objective version of recently developed Spotted Hyena
Optimizer (SHO) called Multi-objective Spotted Hyena Optimizer (MOSHO). It is used to …

Solar cell model is used in various studies of photovoltaic system. Different methods have
been developed to determine model parameters. In this paper, an optimization technique …