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361
An improved lightweight method based on EfficientNet for birdsong recognition
Published 2025-07-01“…Finally, we employ the Adam optimization algorithm to improve network convergence speed. …”
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362
APPLYING GRAPH THEORY TO OPTIMIZE PRODUCT DELIVERY ROUTES AND MINIMIZE COSTS IN THE RESTAURANT BUSINESS
Published 2025-06-01“…Routing algorithms based on graphical description are considered the most optimal analysis method for developing optimal product delivery routes, which helps minimize enterprise costs. …”
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363
Research on switch migration method based on minimum cost path
Published 2020-02-01“…In order to protect the controller,especially the controller in backbone network,from security threats and attacks,improve the security of the software-defined network (SDN) control plane,a switch migration algorithm based on minimum cost path was proposed.A load prediction module was added to the migration model,which executed a controller load prediction algorithm to obtain a load prediction matrix,and then a migration-target controller set was determined according to the load prediction matrix.The improved Dijkstra algorithm was used to determine the minimum cost path.According to the load state of the controller and the traffic priority of the switch to be migrated,the optimal migration switch set was determined.The problem of isolated nodes was solved that may occur during the migration process.The experimental results show that the migration timing of the algorithm is more reasonable,the selection of the migration controller and the target controller is more reasonable,the load balancing of the control plane is realized,the number of migrations and cost are reduced,and the performance of the controller is improved.…”
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364
Hub-and-spoke network design to optimize government subsidy costs for maritime transportation in Indonesia
Published 2025-06-01“…A deterministic optimization approach was adopted, leveraging Genetic Algorithm (GA) techniques to formulate optimal shipping routes and strategically position hub ports. …”
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365
Application of Blocplan and Aldep Algorithms for Optimizing Production Layout at Meatball Factory
Published 2025-06-01Get full text
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366
Ship pipeline collaborative layout optimization based on EPA-star algorithm
Published 2024-12-01“…ObjectivesAiming to overcome the efficiency and engineering practicality issues of existing pipeline layout design methods, this study explores a high-efficiency EPA-star (escape pruning A-star algorithm) for pipeline layout optimization.MethodThe layout space is discretized based on the escape graph method, the resulting connection points are stored as the adjacency table, the estimated traversal cost and penalty function are introduced to reduce the bending and folding phenomenon in the path, and the path is pruned to improve the quality of paths in the case of large spans. …”
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367
Harris Hawk optimization algorithm with combined perturbation strategy and its application
Published 2025-07-01“…Abstract Solving complex engineering optimization problems can improve design quality, reduce costs, and enhance performance and reliability. …”
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368
Provide a method to diagnose and optimize diabetes using data mining methods and firefly algorithm
Published 2023-09-01“…In this research, the DBSCAN clustering algorithm is used to cluster the data. Then, using SVM, we classify the data to identify useful data, and finally, with the firefly algorithm, we increase the obtained data to increase we optimize performance with this algorithm. …”
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369
Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions
Published 2020-01-01“…The proposed study is also applicable to multiple PV plants, multiple maintainers, multipoint departure, different dispatching conditions, and cost considerations. We propose an MOOA algorithm to solve this issue, and we strongly believe that, by defining a suitable fitness function, the convergence speed and optimization ability can be greatly improved, and this study puts a forward step.…”
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370
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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371
The Path Tracking Control of Unmanned Surface Vehicles Based on an Improved Non-Dominated Sorting Genetic Algorithm II-Based Multi-Objective Nonlinear Model Predictive Control Meth...
Published 2024-11-01“…Since the cost function of the MPC algorithm includes multiple objective terms, a multi-objective model predictive control algorithm is employed to improve overall control performance. …”
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372
Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms
Published 2025-03-01“…Overall renewable energy utilization increased by 19.2%, with wind energy seeing the largest improvement (21.8%). The implemented system resulted in estimated monthly cost savings of $320,000. …”
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373
Optimization of the Offshore Wind Turbines Layout Using Cuckoo Search Algorithm
Published 2024-06-01“…A multi-objective function consisting of wake effect and component costs within the wind farm is formulated. After-which a cuckoo search algorithm technique is employed in the wind farm model to optimize the optimization problem (minimizing the wake effect while improving power output and cost). …”
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374
GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR
Published 2017-05-01“…The objective of the optimization process is usually to minimize cost, energy loss, mass, or maximize torque and efficiency. …”
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375
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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376
LANA-YOLO: Road defect detection algorithm optimized for embedded solutions
Published 2025-03-01Get full text
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377
Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization
Published 2025-01-01“…To further enhance the optimization potential of the parallel EGO algorithm, an improved system that integrates the parallel EGO algorithm with gradient-enhanced kriging (GEK) is proposed. …”
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378
Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm
Published 2024-11-01“…Furthermore, the presence of modules with non-standard lengths introduces corresponding penalty costs. This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. …”
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379
Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing
Published 2022-11-01“…The hybridization process updates the search space of Harris Hawk Optimization (HHO) by utilizing the Manta Ray Forging Optimization (MRFO) algorithm by considering the cost, response time, and resource utilization etc. …”
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380
Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems
Published 2025-06-01“…The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration–exploitation and improves the solving of high-dimensional optimization problems. …”
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