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161
Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System
Published 2023-04-01“…Hence, this work developed an Optimized Negative Selection Algorithm (ONSA) for image classification in biometric systems. …”
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162
Insulator Defect Detection Algorithm Based on Improved YOLOv11n
Published 2025-02-01Get full text
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163
Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design
Published 2024-10-01“…While genetic algorithms are used to improve both the cost and seismic performance of the structure, particle swarm optimization is used to optimize the vibration and displacement performance of structures. …”
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164
EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game
Published 2025-05-01“…The proportional coefficient of credit value and voting weight in the process of agent node election is balanced to reduce the oligopoly phenomenon caused by nodes with high credit value, while the roulette selection algorithm is used to randomize the block generation order of agent nodes, to avoid nodes being attacked during block generation and improve the security of the system. …”
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165
PID CONTROLLER FOR SPEED CONTROL OF PMSM BASED ON MAYFLY OPTIMIZATION ALGORITHM
Published 2025-02-01“…Nuptial dancing and random flight improve the ability of the algorithm to balance its features of exploitation and exploration while assisting in its escape from local optima. …”
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166
The WSN Localization Algorithm Integrating Ranging Correction and Spider Wasp Optimization
Published 2025-01-01“…The objective is to improve the accuracy of node localization and enhance the overall performance of the DV-Hop algorithm, making it more reliable in practical deployment scenarios.MethodsThe proposed algorithm consists of two main components: distance correction and optimization using Spider Wasp Optimization (SWO). …”
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167
Genetic Algorithm for Optimal Control Design to Gust Response for Elastic Aircraft
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168
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Published 2014-01-01“…A new local search technique is proposed and used to improve the performance of particle swarm optimization algorithms by addressing the problem of premature convergence. …”
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169
Optimal performance design of bat algorithm: An adaptive multi‐stage structure
Published 2025-06-01“…Abstract The bat algorithm (BA) is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness, which can be used to find the globally optimal solutions for various optimisation problems. …”
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170
Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles
Published 2022-01-01“…A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. …”
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171
Application of Blocplan and Aldep Algorithms for Optimizing Production Layout at Meatball Factory
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172
Multiple strategy enhanced hybrid algorithm BAGWO combining beetle antennae search and grey wolf optimizer for global optimization
Published 2025-05-01“…Abstract This study proposes BAGWO, a novel hybrid optimization algorithm that integrates the Beetle Antennae Search algorithm (BAS) and the Grey Wolf Optimizer (GWO) to leverage their complementary strengths while enhancing their original strategies. …”
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173
Research on Algorithms for Local Robot Positioning Using Methods of Discrete Optimization
Published 2025-06-01“…For constructing the relative coordinate system, a method of forming a base triangle using a nonlinear discrete optimization method was proposed. An algorithm for building a local positioning system for a robot group was developed to ensure the stable configuration of the group in the absence of access to global or cellular navigation systems while performing tasks in two-dimensional spaces. …”
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174
A Group Search Algorithm for Optimal Scheduling of Cascade Hydropower Stations
Published 2025-01-01“…The coronavirus herd immunity optimizer (CHIO) algorithm was introduced to address the optimal scheduling problem of cascade hydropower plants, and an improved algorithm called LCHIO was proposed. …”
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175
Resource optimization algorithm of combination of NFV and SDN for application of multiple services
Published 2018-11-01“…Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.…”
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176
A Group Search Algorithm for Optimal Scheduling of Cascade Hydropower Stations
Published 2025-06-01“…The coronavirus herd immunity optimizer (CHIO) algorithm was introduced to address the optimal scheduling problem of cascade hydropower plants, and an improved algorithm called LCHIO was proposed. …”
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177
YOLO-WWBi: An Optimized YOLO11 Algorithm for PCB Defect Detection
Published 2025-01-01Get full text
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178
Distributed K-Means algorithm based on a Spark optimization sample.
Published 2024-01-01“…To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …”
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179
CSA: Utility Optimization Scheduling Algorithm for IoT Blockchain Sharding Committees
Published 2025-03-01“…CSA dynamically adjusts the committee members to achieve near-optimal solutions while addressing operational constraints. …”
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180
A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams
Published 2025-06-01“…The algorithm enhances global search capability through the introduction of a quantum potential well model, while incorporating adaptive mutation operations to prevent premature convergence, thereby improving optimization accuracy during later iterations. …”
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