Comparative study on single and multiple chaotic maps incorporated grey wolf optimization algorithms
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 …
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
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 …
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 …
making strategies for a generating company. Early anticipation of this information can be …
Chaos embed marine predator (CMPA) algorithm for feature selection
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 …
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 …
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 …
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 …
energy clustering a paramount issue. A clustering optimization algorithm in BANs is a …
Application of hybridized whale optimization for protein structure prediction
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 …
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
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 …
competitive business environ¬ ment and escalating power demand. Power system is …