An inclusive survey on marine predators algorithm: Variants and applications

R Rai, KG Dhal, A Das, S Ray - Archives of Computational Methods in …, 2023 - Springer
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

Recent developments in equilibrium optimizer algorithm: its variants and applications

R Rai, KG Dhal - Archives of Computational Methods in Engineering, 2023 - Springer
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 …

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 …

A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem

A Srivastava, DK Das - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
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 …

Hybrid reptile search algorithm and remora optimization algorithm for optimization tasks and data clustering

KH Almotairi, L Abualigah - Symmetry, 2022 - mdpi.com
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 …

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 …

Techno socio-economic analysis and stratified assessment of hybrid renewable energy systems for electrification of rural community

N Kumar, K Namrata, A Samadhiya - Sustainable Energy Technologies and …, 2023 - Elsevier
This article proposes a fractional-order conceptual based upgradation of the classical JAYA
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

R Rai, A Das, S Ray, KG Dhal - Archives of Computational Methods in …, 2022 - Springer
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 …

A new aggrandized class topper optimization algorithm to solve economic load dispatch problem in a power system

A Srivastava, DK Das - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
Optimization techniques are widely being used to solve large and complex economical load
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

A Srivastava, DK Das - Knowledge-Based Systems, 2022 - Elsevier
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 …