Firefly algorithm
View article: Deep Learning Based Spatio Temporal Learning with Bio-Inspired Optimization for Smart Fertilizer Decision Making
Deep Learning Based Spatio Temporal Learning with Bio-Inspired Optimization for Smart Fertilizer Decision Making Open
Objectives: To propose a new model for robust smart fertilizer recommendation by integrating deep learning based spatiotemporal and bio-inspired optimization. The system addresses the limitations of existing models in capt…
View article: Comparison of Nature-Inspired Optimization Models and Robust Machine-Learning Approaches in Predicting the Sustainable Building Energy Consumption: Case of Multivariate Energy Performance Dataset
Comparison of Nature-Inspired Optimization Models and Robust Machine-Learning Approaches in Predicting the Sustainable Building Energy Consumption: Case of Multivariate Energy Performance Dataset Open
Accurate prediction of building energy loads is essential for smart buildings and sustainable energy management. While machine learning (ML) approaches outperform traditional statistical models at capturing nonlinear relationships, most st…
View article: A Soft Sensor Modeling Method Based on Local Migration Modeling Framework
A Soft Sensor Modeling Method Based on Local Migration Modeling Framework Open
To address the issues of low model fitting accuracy and insufficient prediction capability caused by the multi-stage characteristics and batch-to-batch data distribution heterogeneity in the fermentation process of Pichia pastoris, this st…
View article: Research on Machine Tool Thermal Error Compensation Based on an Optimized LSTM Model
Research on Machine Tool Thermal Error Compensation Based on an Optimized LSTM Model Open
Thermal error is a significant factor affecting the machining accuracy of machine tools, and error compensation is an economical and effective method to improve machine tool accuracy. However, traditional modeling methods face challenges s…
View article: Bezier curve-based mobile robot path planning using the Proposed Enhanced Firefly Optimization algorithm
Bezier curve-based mobile robot path planning using the Proposed Enhanced Firefly Optimization algorithm Open
View article: Quantum Firefly Algorithm with Random Neighborhood Search for Large-scale Data Analysis
Quantum Firefly Algorithm with Random Neighborhood Search for Large-scale Data Analysis Open
View article: Improving Data Aggregation in IoT Sensor Networks Using Self-Organizing Maps and Firefly Optimization Algorithm
Improving Data Aggregation in IoT Sensor Networks Using Self-Organizing Maps and Firefly Optimization Algorithm Open
Internet of Things (IoT) sensor networks comprise diminutive sensor units primarily designed for monitoring phenomena within a designated area. However, reaching the complete potential of this kind of network is extremely difficult due to …
View article: Machine learning-guided discovery of thermophilic carbonic anhydrases from environmental metagenomes
Machine learning-guided discovery of thermophilic carbonic anhydrases from environmental metagenomes Open
Thermophilic carbonic anhydrases (CAs) are promising biocatalysts for carbon capture utilization and storage (CCUS) due to their stability and efficiency at elevated temperatures. This study presents a machine learning (ML)-guided approach…
View article: Solving Heterogenous Fleet Capacitated Vehicle Routing Problem with Time Windows Using Cooperative Hybrid Firefly Algorithm
Solving Heterogenous Fleet Capacitated Vehicle Routing Problem with Time Windows Using Cooperative Hybrid Firefly Algorithm Open
The Vehicle Routing Problem with Time Windows (VRPTW) is a widely studied logistics optimization problem, and its complexity increases when heterogeneous fleets are considered. This study proposes the application of the Cooperative Hybrid …
View article: A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS)
A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS) Open
A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS) - a novel metaheuristic combining COA and HS for enhanced global optimization through adaptive exploration–exploitation balance. Includes so…
View article: A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS)
A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS) Open
A MATLAB implementation of the Hybrid Crayfish Optimization Algorithm with Harmony Search (HCOAHS) - a novel metaheuristic combining COA and HS for enhanced global optimization through adaptive exploration–exploitation balance. Includes so…
View article: Optimisation of Multi-Agent Based Medical Diagnosis with Adaptive Particle Swarm and Firefly Algorithm in Healthcare Sector
Optimisation of Multi-Agent Based Medical Diagnosis with Adaptive Particle Swarm and Firefly Algorithm in Healthcare Sector Open
This study develops a multi-agent medical diagnosis system using Adaptive Particle Swarm Optimization (APSO) and Firefly Algorithm (FA) for healthcare applications. The primary objective of this research is to enhance the precision and eff…
View article: LOAD FREQUENCY CONTROL OF COMMERCIAL HYBRID SOLAR SYSTEM USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
LOAD FREQUENCY CONTROL OF COMMERCIAL HYBRID SOLAR SYSTEM USING COMPUTATIONAL INTELLIGENCE TECHNIQUES Open
It is necessary to predict solar photovoltaic (PV) output and load profile to guarantee the security, stability, and reliability of hybrid solar power systems. Severe frequency fluctuations in hybrid solar systems are expected due to the i…
View article: LOAD FREQUENCY CONTROL OF COMMERCIAL HYBRID SOLAR SYSTEM USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
LOAD FREQUENCY CONTROL OF COMMERCIAL HYBRID SOLAR SYSTEM USING COMPUTATIONAL INTELLIGENCE TECHNIQUES Open
It is necessary to predict solar photovoltaic (PV) output and load profile to guarantee the security, stability, and reliability of hybrid solar power systems. Severe frequency fluctuations in hybrid solar systems are expected due to the i…
View article: Efficient Surrogate-Based Optimization of Prefractionation Column Using Self-Adaptive Kriging Model with Modified Firefly Algorithm
Efficient Surrogate-Based Optimization of Prefractionation Column Using Self-Adaptive Kriging Model with Modified Firefly Algorithm Open
The optimization of distillation columns is critically important due to their substantial contribution to operational costs in the petrochemical industry. This paper introduces a computationally efficient surrogate-based optimization frame…
View article: Spam Detection Boosted by Firefly-Based Feature Selection and Optimized Classifiers
Spam Detection Boosted by Firefly-Based Feature Selection and Optimized Classifiers Open
Spam email remains a persistent cybersecurity threat, often exploiting deceptive URLs to bypass conventional filters. Effective detection requires models that achieve high accuracy while maintaining low computational overhead for real-time…
View article: Design and Implementation of a Web-Based SCADA for Closed-Loop PID Control Optimized by AI with PLC Integration
Design and Implementation of a Web-Based SCADA for Closed-Loop PID Control Optimized by AI with PLC Integration Open
This journal aims to design and implement a Web Based SCADA system integrated with PLC and using the Firefly algorithm for PID control parameter optimization in a closed loop system. The system is developed following the ISA-95 architectur…
View article: Performance Analysis of the Firefly Algorithm on Classical Benchmark Optimization Problems
Performance Analysis of the Firefly Algorithm on Classical Benchmark Optimization Problems Open
This paper presents an exhaustive empirical investigation of the Firefly Algorithm (FA), a nature-inspired metaheuristic optimization technique, applied to 23 classical benchmark optimization problems. Through systematic experimentation ac…
View article: Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm
Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm Open
Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliab…
View article: Optimization of two-stage DTMOS operational transconductance amplifier with Firefly algorithm
Optimization of two-stage DTMOS operational transconductance amplifier with Firefly algorithm Open
This paper presents a methodology for optimizing dynamic threshold MOSFET (DTMOS) two-stage operational transconductance amplifiers (OTAs) tailored for biomedical applications through the utilization of the Firefly algorithm. The optimizat…
View article: Dynamic Power Tracking Using Hybrid Firefly-Grey Wolf Optimization Algorithm for Photovoltaic Array under Inhomogeneous Insolation
Dynamic Power Tracking Using Hybrid Firefly-Grey Wolf Optimization Algorithm for Photovoltaic Array under Inhomogeneous Insolation Open
Due to environmental effects in the form of partial shading, photovoltaic (PV) arrays usually exhibit several power peaks in their power-voltage (PV) characteristic curves. The traditional Maximum PowerPoint Tracking (MPPT) algorithms have…
View article: Optimasi MPPT pada Sistem Turbin Angin Nonlinear Menggunakan Firefly Algorithm
Optimasi MPPT pada Sistem Turbin Angin Nonlinear Menggunakan Firefly Algorithm Open
Penelitian ini membahas pendekatan optimasi Maximum Power Point Tracking (MPPT) pada sistem turbin angin nonlinier menggunakan Firefly Algorithm (FA). Karakteristik nonlinier turbin angin, yang disebabkan oleh fluktuasi kecepatan angin ser…
View article: QRL-AFOFA: Q-Learning Enhanced Self-Adaptive Fractional Order Firefly Algorithm for Large-Scale and Dynamic Multiobjective Optimization Problems
QRL-AFOFA: Q-Learning Enhanced Self-Adaptive Fractional Order Firefly Algorithm for Large-Scale and Dynamic Multiobjective Optimization Problems Open
This paper introduces QRL-AFOFA, a Q-learning-enhanced adaptive fractional-order firefly algorithm developed to address the challenges of large-scale and dynamic multiobjective optimization problems. While fractional-order metaheuristics p…
View article: Multi-Objective Image Fusion for Brain Tumor Detection Using Improved Weighted Quantum Firefly Optimization and StyleGAN-MAE-SwinViT
Multi-Objective Image Fusion for Brain Tumor Detection Using Improved Weighted Quantum Firefly Optimization and StyleGAN-MAE-SwinViT Open
View article: WOA-COVID-19: Whale Optimization Algorithm for Selection of Multi-Examination Features based on COVID-19 Infections
WOA-COVID-19: Whale Optimization Algorithm for Selection of Multi-Examination Features based on COVID-19 Infections Open
Since its emergence in late 2019, COVID-19 (Coronavirus Disease 2019) has become one of the most critical global health threats, claiming millions of lives and placing many more at serious risk. The complexity of diagnosing COVID-19 lies i…
View article: Firefly algorithm with multiple learning ability based on gender difference
Firefly algorithm with multiple learning ability based on gender difference Open
The Firefly Algorithm (FA), while effective for complex optimization, suffers from inherent limitations such as search oscillation and low convergence precision. To address these issues, a firefly algorithm with multiple learning ability b…
View article: Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU
Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU Open
High-dimensional datasets often pose challenges due to the presence of numerous irrelevant and redundant features, which can compromise the performance of machine learning models. This study proposes a novel optimization algorithm, LR-GPSO…
View article: A multi-class SVM based CBIR system using Forest Optimization algorithm and Firefly algorithm
A multi-class SVM based CBIR system using Forest Optimization algorithm and Firefly algorithm Open
Content based image retrieval (CBIR) system extracts the images that are similar to the query image (QI) from database. In this work, a new CBIR system is introduced using feature extraction techniques, Forest Optimization Algorithm, Multi…
View article: Hybrid Firefly and Particle Swarm Optimization for parameter tuning of XGBoost: Network Intrusion Detection
Hybrid Firefly and Particle Swarm Optimization for parameter tuning of XGBoost: Network Intrusion Detection Open
This paper presents an intrusion detection framework combining machine learning, feature engineering, and metaheuristic optimization to enhance network security. The approach employs Extreme Gradient Boosting (XGBoost) for automatic featur…
View article: Efficacy of swarm-based neural networks in automated depression detection
Efficacy of swarm-based neural networks in automated depression detection Open