Comparative study on single and multiple chaotic maps incorporated grey wolf optimization algorithms

Z Xu, H Yang, J Li, X Zhang, B Lu, S Gao - IEEE Access, 2021 - ieeexplore.ieee.org
As a meta-heuristic algorithm that simulates the intelligence of gray wolves, grey wolf
optimizer (GWO) has a wide range of applications in practical problems. As a kind of local …

Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images

LK Singh, M Khanna, S Thawkar, R Singh - Multimedia Tools and …, 2023 - Springer
Glaucoma, commonly known as the silent thief of sight, is the second most common cause of
blindness in humans, and the number of cases is steadily increasing. Conventional …

Optimized fractional overhead power term polynomial grey model (OFOPGM) for market clearing price prediction

A Saxena - Electric Power Systems Research, 2023 - Elsevier
Abstract Market Clearing Price (MCP) prediction methods are beneficial for framing the profit
making strategies for a generating company. Early anticipation of this information can be …

Chaos embed marine predator (CMPA) algorithm for feature selection

AF Alrasheedi, KA Alnowibet, A Saxena, KM Sallam… - Mathematics, 2022 - mdpi.com
Data mining applications are growing with the availability of large data; sometimes, handling
large data is also a typical task. Segregation of the data for extracting useful information is …

Bilinear optimization of protein structure prediction: An exact approach via AB off-lattice model

LSA da Silva, LO Seman, E Camponogara… - Computers in Biology …, 2024 - Elsevier
Protein structure prediction (PSP) remains a central challenge in computational biology due
to its inherent complexity and high dimensionality. While numerous heuristic approaches …

A nonlinear hyperbolic optimized grey model for market clearing price prediction: Analysis and case study

A Saxena - Sustainable Energy, Grids and Networks, 2024 - Elsevier
Abstract Market Clearing Price (MCP) of an energy market is an operating equilibrium
attained, when consumer demand and supply bid curves intersect with each other. Early …

A biologically inspired algorithm for low energy clustering problem in body area network

M Xu, J Zhou - Journal of Sensors, 2021 - Wiley Online Library
The growing application of body area networks (BANs) in different fields makes the low
energy clustering a paramount issue. A clustering optimization algorithm in BANs is a …

Application of hybridized whale optimization for protein structure prediction

A Saxena, S Shekhawat, A Sharma, H Sharma… - … : Proceedings of ICICC …, 2022 - Springer
Protein structure problem is a challenging task in the bioinformatics field; the most daunting
task is to identify the accurate structure and bend angles in a stipulated time. As a known …

[PDF][PDF] Comparative Analysis of Different Optimization Algorithms on Transmission Expansion Planning Problem

J Jangid, A Mehta, A Saxena, SL Surana, S Shekhawat - researchgate.net
Transmission expansion planning problem is a crit¬ ical issue in power system due to
competitive business environ¬ ment and escalating power demand. Power system is …