Results 11 to 20 of about 1,809,503 (180)

Dynamic Optimization of Chemical Processes Based on Modified Sailfish Optimizer Combined with an Equal Division Method

Processes, 2021
The optimal solution of the chemical dynamic optimization problem is the basis of automatic control operation in the chemical process, which can reduce energy consumption, increase production efficiency, and maximize economic benefit. In this paper, a modified sailfish optimizer (MSFO) combined with an equal division method is proposed for solving ...
Yuedong Zhang
exaly   +3 more sources

Multi-Strategy Sailfish Optimizer: Novel Algorithm with Dynamic Sardine Population and Improved Search Technique for Efficient Robot Path Planning

Machines
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, Muhammad Rizwan Tanweer, Adnan Ahmed Siddiqui, Salman A. Khan, Muhammad Hassan Tanveer, Razvan Cristian Voicu   +5 more
doaj   +4 more sources

K-means Hybrid Iterative Clustering Based on Memory Transfer Sailfish Optimization

Shanghai Jiaotong Daxue xuebao, 2022
Aimed at the problem that the existing K-means clustering (KMC) algorithm is greatly affected by initialization, and the randomly generated clustering center can easily make the clustering result fall into local optimum and stop iterating, resulting in ...
HUANG He, XIONG Wu, WU Kun, WANG Huifeng, RU Feng, WANG Jun
doaj   +3 more sources

Periodic pressure prediction of working face based on dynamic adaptive sailfish optimization BP neural network [PDF]

Gong-kuang zidonghua
In order to solve the problems of insufficient precision, poor generalization, and high computational requirements of existing methods for periodic pressure prediction of working face, a periodic pressure prediction model of working face based on dynamic
YAO Yupeng, XIONG Wu
doaj   +2 more sources

Sailfish Optimization Algorithm Integrated with the Osprey Optimization Algorithm and Cauchy Mutation and Its Engineering Applications

Symmetry
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, Yinggao Yue, Yaodan Chen, Changzu Chen, Binhe Chen   +4 more
openaire   +3 more sources

SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction

Ain Shams Engineering Journal
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, Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Ahmed Adnan Hadi, Mohamed Ghouse, Akila Thiyagarajan, Mohit Mittal, Mohammad Khishe   +8 more
doaj   +2 more sources

<i>PhyloRef</i>: A Semi-Automated Workflow for eDNA Reference Database Curation via Phylogenetic Anomaly Detection. [PDF]

Ecol Evol
PhyloRef processes complete mitochondrial genomes with optional multi‐gene concatenation to flag three categories of phylogenetic anomalies based on tree topology and annotates ambiguous sequences with “similar_to=” labels. The workflow successfully curated 7600+ chondrichthyan and actinopterygian sequences from NCBI, identifying and removing 410 ...
Mai Y, Li C.
europepmc   +2 more sources

Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

Applied Sciences, 2021
Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and ...
V. Sivasankarareddy, G. Sundari, Ch. Rami Reddy, Flah Aymen, Edson C. Bortoni   +4 more
doaj   +1 more source

Replication Data for: eSLP optimization algorithm

, 2023
m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
core   +1 more source

Improved Binary Sailfish Optimizer Based on Adaptive β-Hill Climbing for Feature Selection

IEEE Access, 2020
Feature selection (FS), an important pre-processing step in the fields of machine learning and data mining, has immense impact on the outcome of the corresponding learning models.
Kushal Kanti Ghosh, Shameem Ahmed, Pawan Kumar Singh, Zong Woo Geem, Ram Sarkar   +4 more
doaj   +1 more source