Risultati della ricerca - optimization algorithm
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681
Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem
Pubblicazione 2023-10-01Soggetti: “...Combinatorial Optimization Problems, Diversity Operators, Fish Swarm Artificial Algorithm, Flexible Job Shop Scheduling problem, Metaheuristic Algorithm...”Artificial fish swarm algorithm (AFSA) is one of the critical swarm intelligent algorithms. In this paper, the authors decide to enhance AFSA via diversity operators (AFSA-DO). The diversity operators will be producing more diverse solutions for AFSA to obtain reasonable resolutions. AFSA-DO has...
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682
Application of Signal Processing Tools for Fault Diagnosis in Induction Motors-A Review-Part II
Pubblicazione 2018-06-01Soggetti: “...cuckoo optimization algorithm...”The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing tec...
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683
Optimized Support Vector Machine Assisted BOTDA for Temperature Extraction With Accuracy Enhancement
Pubblicazione 2020-01-01Soggetti: TestoBrillouin optical time domain analyzer (BOTDA) assisted by optimized support vector machine (SVM) algorithm for accurate temperature extraction is presented and experimentally demonstrated. Three typical intelligent optimization algorithms, particle swarm optimization algorithm, genetic algorithm an...
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684
Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing
Pubblicazione 2025-01-01Soggetti: “...Optimization...”Optimization has developed powerful algorithms for solving complex problems efficiently. The effectiveness of these algorithms, also called metaheuristics, largely depends on the capabilities of their search techniques. Combinatorial Interaction Testing (CIT) is an efficient technique for detecting...
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685
An Iterative Power Gradient Searching Algorithm Toward the Slot and Power Joint Scheduling Problem in MANET Broadcast
Pubblicazione 2025-01-01“...Due to the difficulty of multi-target optimization in the dynamic topology, we decoupled the problem into two subproblems iterating with each other: minimum-delay slot scheduling and maximum-throughput minimum-energy power gradient searching, both of which process the primary topology considering the mobility of the nodes, thus forming the algorithm Iterative Power Gradient Searching. ...”Broadcast is a fundamental network service in mobile ad hoc networks (MANETs). Despite a plethora of research on ad hoc networks’ broadcast, there has been minimal research on slot and power joint scheduling. In this study, we focused our investigation on slot and power joint broadcast sc...
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686
COMBINED ALGORITHMS FOR CONSTRUCTING A SOLUTION TO THE TIME–OPTIMAL PROBLEM IN THREE-DIMENSIONAL SPACE BASED ON THE SELECTION OF EXTREME POINTS OF THE SCATTERING SURFACE
Pubblicazione 2022-12-01“...The found analytical representation for the extreme points of the bisector is taken as the basis for numerical algorithms for constructing a singular set. The effectiveness of the developed approach for solving non-smooth dynamic problems is illustrated by an example of numerical-analytical construction of resolving structures for the time-optimal control problem....”A class of time-optimal control problems in three-dimensional space with a spherical velocity vector is considered. A smooth regular curve \(\Gamma\) is chosen as the target set. We distinguish pseudo-vertices that are characteristic points on \(\Gamma\) and responsible for the appearance of a singu...
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687
A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition
Pubblicazione 2025-06-01“...Recently, various evolutionary algorithms, such as Genetic Algorithms and Particle Swarm Optimization, have been applied to detect deadlock states. ...”Model checking has become a widely used and precise technique for verifying software systems. However, a major challenge in model checking is state space explosion, which occurs due to the exponential memory usage required by the model checker. To address this issue, meta-heuristic and evolutionary...
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688
Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm
Pubblicazione 2025-06-01TestoGood, accurate and secure data management is certainly one of the main needs for companies that provide public services. This research aims to develop a web application-based information system to manage customer water meter data at a regional water company in Semarang. This system was built using t...
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689
Multidimensional water-economic-ecological joint optimization for Manas River Basin, China, using a dual-population co-evolutionary algorithm
Pubblicazione 2025-08-01Soggetti: “...Optimal allocation of water resources...”Study region: The Manas River Basin in the Xinjiang Uygur Autonomous Region is a typical arid oasis in Northwest China, where water is scarce. Study focus: A multidimensional water-economic-ecological joint optimization model was constructed and solved using an improved hybrid algorithm combining Mu...
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690
UAVRM-A*: A Complex Network and 3D Radio Map-Based Algorithm for Optimizing Cellular-Connected UAV Path Planning
Pubblicazione 2025-06-01TestoIn recent research on path planning for cellular-connected Unmanned Aerial Vehicles (UAVs), leveraging navigation models based on complex networks and applying the A* algorithm has emerged as a promising alternative to more computationally intensive methods, such as deep reinforcement learning (DRL)...
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691
A Deep Reinforcement Learning-Driven Seagull Optimization Algorithm for Solving Multi-UAV Task Allocation Problem in Plateau Ecological Restoration
Pubblicazione 2025-06-01Soggetti: TestoThe rapid advancement of unmanned aerial vehicle (UAV) technology has enabled the coordinated operation of multi-UAV systems, offering significant applications in agriculture, logistics, environmental monitoring, and disaster relief. In agriculture, UAVs are widely utilized for tasks such as ecologi...
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692
Advanced control and optimization techniques for DFIG wind energy systems: A case study using pelican algorithm and CTID-PID controller
Pubblicazione 2025-06-01“...The RSC is controlled using the pelican optimization technique, a nature-inspired algorithm that effectively tunes control parameters to achieve optimal dynamic response and minimize power losses, enabling maximum wind power capture while maintaining stability. ...”This paper presents an enhanced strategy for control of Doubly Fed Induction Generator (DFIG) wind energy systems interconnected to the grid. The proposed approach focuses on optimizing the performance of both the grid side converter (GSC) and the rotor side converter (RSC) to increase the overall s...
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693
Optimization of real-time transmission and coding algorithm for high quality film and television content based on 6G wireless communication technology
Pubblicazione 2025-09-01TestoAlthough existing video coding standards, such as H.264/AVC, H.265/HEVC, and H.266/VVC, have made some progress in compression efficiency, they still have limitations such as high computational complexity and poor adaptability to different content types. In terms of AI-based coding methods, there is...
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694
Control of a compliant gripper via least-squares support vector regression (LS-SVR) with particle swarm optimization (PSO) algorithm
Pubblicazione 2025-12-01“...This study focuses on controlling a compliant gripper using least-squares support vector regression (LS-SVR) combined with a particle swarm optimization (PSO) algorithm. The compliant gripper is designed to grip small objects with high precision. ...”This study focuses on controlling a compliant gripper using least-squares support vector regression (LS-SVR) combined with a particle swarm optimization (PSO) algorithm. The compliant gripper is designed to grip small objects with high precision. However, repeated use can lead to reduced precision d...
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695
A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm
Pubblicazione 2025-07-01“...We propose the Enhanced Biomimetic Hippopotamus Optimization (EBOHO) algorithm, which distills the river-dwelling hippo’s ecological wisdom into three synergistic strategies: a beta-function herd seeding that replicates the genetic diversity of juvenile hippos diffusing through wetlands, an elite–mean cooperative foraging rule that echoes the way dominant bulls steer the herd toward nutrient-rich pastures, and a lens imaging opposition maneuver inspired by moonlit water reflections that spawn mirror candidates to avert premature convergence. ...”As power grids scale and aging assets edge toward obsolescence, grounding grid corrosion has become a critical vulnerability. Conventional diagnosis must fit high-dimensional electrical data to a physical model, typically yielding a nonlinear under-determined system fraught with computational burden...
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696
A Two-Stage Optimization Framework for UAV Fleet Sizing and Task Allocation in Emergency Logistics Using the GWO and CBBA
Pubblicazione 2025-07-01“...To address this gap, this paper proposes a novel two-stage hierarchical framework that integrates the Grey Wolf Optimizer (GWO) with the Consensus-Based Bundle Algorithm (CBBA). ...”The joint optimization of fleet size and task allocation presents a critical challenge in deploying Unmanned Aerial Vehicles (UAVs) for time-sensitive missions such as emergency logistics. Conventional approaches often rely on pre-determined fleet sizes or computationally intensive centralized optim...
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697
Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions
Pubblicazione 2025-06-01Soggetti: “...adaptive opposition slime mould algorithm...”This article offers an advanced argument in using a Machine Learning algorithm known as Gaussian Process Regression to predict the UCS for mixtures of soils. In particular, this study constructs special GPR prediction models dedicated to estimating UCS with a high degree of precision. The article ca...
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698
Balancing comfort and conservation: dynamic programming algorithm for appliance scheduling in residential demand-side management
Pubblicazione 2025-07-01Soggetti: “...demand response home energy management energy efficiency optimization algorithms appliance scheduling dynamic programming algorithm peak average ratio (par)...”With the exponential upward thrust in residential energy consumption, effective Demand-Side Management (DSM) has come to be vital to ensure grid balance and user satisfaction. This paper proposes a holistic and customer-centric method for DSM via the improvement of the Automated Load Scheduling (ALS...
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699
A Multi-Objective Optimization Study on a Certain Lecture Hall Based on Thermal and Visual Comfort
Pubblicazione 2025-06-01Soggetti: TestoLecture halls are characterized by large spatial dimensions, deep floor plans, and high occupant densities. Lectures are typically conducted using multimedia and blackboard-based teaching, placing higher demands on the indoor light and thermal environment compared to standard classrooms. This study...
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700
Smart Societal Optimization-based Deep Learning Convolutional Neural Network Model for Epileptic Seizure Prediction
Pubblicazione 2024-12-01TestoEpilepsy is a long-term neurological condition that disrupts brain function in people of all ages, epilepsy is a condition that is analysed through the brain signals via electroencephalogram (EEG) signal. To analyse epilepsy using spatial and temporal data, various machine-learning-based techniques...
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