An inclusive survey on marine predators algorithm: Variants and applications
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …
Recent developments in equilibrium optimizer algorithm: its variants and applications
There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …
various events observable in nature, such as evolutionary phenomena, the actions of social …
Biomedical text categorization based on ensemble pruning and optimized topic modelling
A Onan - Computational and Mathematical Methods in …, 2018 - Wiley Online Library
Text mining is an important research direction, which involves several fields, such as
information retrieval, information extraction, and text categorization. In this paper, we …
information retrieval, information extraction, and text categorization. In this paper, we …
A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem
In this article, a new optimization technique known as Kho-Kho optimization (KKO) algorithm
is presented. This proposed technique is a population based meta-heuristic method which is …
is presented. This proposed technique is a population based meta-heuristic method which is …
Hybrid reptile search algorithm and remora optimization algorithm for optimization tasks and data clustering
Data clustering is a complex data mining problem that clusters a massive amount of data
objects into a predefined number of clusters; in other words, it finds symmetric and …
objects into a predefined number of clusters; in other words, it finds symmetric and …
Stock exchange trading optimization algorithm: a human-inspired method for global optimization
H Emami - The Journal of Supercomputing, 2022 - Springer
In this paper, a human-inspired optimization algorithm called stock exchange trading
optimization (SETO) for solving numerical and engineering problems is introduced. The …
optimization (SETO) for solving numerical and engineering problems is introduced. The …
Techno socio-economic analysis and stratified assessment of hybrid renewable energy systems for electrification of rural community
This article proposes a fractional-order conceptual based upgradation of the classical JAYA
algorithm to emphasize the benefits of rapid renewable technologies. An intelligent …
algorithm to emphasize the benefits of rapid renewable technologies. An intelligent …
Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …
A new aggrandized class topper optimization algorithm to solve economic load dispatch problem in a power system
Optimization techniques are widely being used to solve large and complex economical load
dispatch (ELD) and combined emission economical dispatch (CEED) problems in power …
dispatch (ELD) and combined emission economical dispatch (CEED) problems in power …
A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid
In this article, a new optimization technique is proposed. The proposed technique is a nature-
inspired population-based meta-heuristic optimization technique which is inspired from …
inspired population-based meta-heuristic optimization technique which is inspired from …