Results 11 to 20 of about 695 (187)
An Optimized Nature-Inspired Metaheuristic Algorithm for Application Mapping in 2D-NoC [PDF]
Mapping application task graphs on intellectual property (IP) cores into network-on-chip (NoC) is a non-deterministic polynomial-time hard problem. The evolution of network performance mainly depends on an effective and efficient mapping technique and ...
Saleha Sikandar +5 more
doaj +2 more sources
Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks [PDF]
Today’s critical goals in sensor network research are extending the lifetime of wireless sensor networks (WSNs) and lowering power consumption. A WSN necessitates the use of energy-efficient communication networks.
Venkatesan Cherappa +5 more
doaj +2 more sources
Multi-Objective Hybrid Sailfish Optimization Algorithm for Planetary Gearbox and Mechanical Engineering Design Optimization Problems [PDF]
This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering,
Sedak, Miloš +2 more
openaire +3 more sources
Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data [PDF]
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading
Lella Kranthi Kumar +5 more
doaj +2 more sources
The sailfish optimizer is a recent swarm-intelligence-based optimization algorithm which mimics the hunting behavior of sailfish in the ocean. It consists of two types of populations, namely, sailfish and sardine, where sailfish represent the candidate ...
Saboohi Naeem Ahmed +5 more
doaj +2 more sources
From collective intelligence to evolutionary computation and machine learning, symmetry can be leveraged to enhance algorithm performance, streamline computational procedures, and elevate solution quality. Grasping and leveraging symmetry can give rise to more resilient, scalable, and understandable algorithms.
Li Cao +4 more
openaire +2 more sources
SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction
Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature ...
Ashjan Hamad Alsabhan +8 more
doaj +2 more sources
Model Optimization of Kinematic Redundant Feed Drive Systems Using Sailfish Optimization Algorithm
M. G. A. Nassef +2 more
openaire +2 more sources
In this article, a nonlinear control method based on a virtual synchronous inverter is presented in order to maintain the stability of the microgrid in the island and connected mode with the presence of solar renewable energy sources.
Shasha Li +3 more
doaj +2 more sources
Nelson Santos +6 more
openaire +3 more sources

