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821
A heuristic decomposition algorithm to optimally configure superconducting fault current limiters in Large-Scale power systems
Published 2025-06-01“…The numerical results show that for these IEEE and real systems, compared with GUROBI, the proposed algorithm is 125.7 and 10.6 times faster with only 0.04% and 0.003% higher total cost, respectively; compared with ATC, it is slightly slower with 0.2% and 0.3% lower total cost, respectively.…”
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822
Joint Optimization of Multi-Period Empty Container Repositioning and Inventory Control Based on Adaptive Particle Swarm Algorithm
Published 2025-06-01“…This paper proposes a combined optimization method for multi-period empty container repositioning and inventory control based on adaptive particle swarm optimization (APSO) algorithm, which addresses the limitations of existing research, such as decoupling empty container repositioning and inventory control optimization, and lacking multi-period dynamic collaboration mechanisms. …”
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823
Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization
Published 2025-10-01“…An improved A-star algorithm is proposed in this paper for path planning in the radioactive environment of nuclear facilities. …”
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824
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825
Optimal operation of multiple integrated energy systems based on a hybrid Taguchi‐compact salp swarm algorithm
Published 2023-10-01“…Results demonstrate that: (1) compared with other famous algorithms, TCSSA can provide more efficient execution and better solutions. (2) The optimal operation of MIESs based on TCSSA can achieve the complementary of energy advantages, which effectively reduces the total cost of MIESs (up to 9.67%).…”
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826
Aerodynamic Optimization of a Wind Turbine Blade Designed for Egypt's Saharan Environment Using a Genetic Algorithm
Published 2015-08-01“…These results shows that optimization of wind turbine blade aerodynamic parameters for site-specific wind conditions leads to improvement in AEP and hence decreasing cost of energy generated by wind turbines.…”
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827
Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images
Published 2025-03-01“…Eventually, the whale optimization algorithm (WOA) is used to optimally choose the hyperparameters of the CNN‐BiGRU model. …”
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828
Decision-making method for residual support force of hydraulic supports during pressurized moving under fragmented roof conditions in ultra-thin coal seams
Published 2025-03-01“…To address this challenge, this study proposed a novel decision-making method based on a Deep Hybrid Kernel Extreme Learning Machine (DHKELM) optimized by an Improved Dung Beetle Optimization (IDBO) algorithm. …”
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829
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830
Micro-Energy Grid Energy Utilization Optimization with Electricity and Heat Storage Devices Based on NSGA-III Algorithm
Published 2024-11-01“…This study built a multi-objective optimization model and used the NSGA-III algorithm to obtain a Pareto solution set. …”
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831
A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm
Published 2021-01-01“…Solar energy conversion efficiency has improved by the advancement technology of photovoltaic (PV) and the involvement of administrations worldwide. …”
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832
Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy
Published 2018-01-01“…In this paper, the operation strategy of the CSP-PV system is proposed for parabolic trough CSP system and PV system which are now commercially operated. Genetic algorithm is used to optimize the design of the system and calculate PV-installed capacity, battery capacity, and storage capacity of CSP system, making the system to achieve the lowest cost of electricity generation. …”
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833
Algorithms and probabilistic models of parameters of operation of in-plant power supply
Published 2021-05-01“…To investigate the operability of low-voltage shop networks of radial, trunk and mixed structure in optimal operating conditions of the equipment when modeling the impact of external factors, such as the root-mean-square load factor of the equipment, the temperature of the shop room and the calculated time interval on the operating parameters of the system. …”
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834
Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks
Published 2025-04-01Get full text
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835
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836
Charging pile fault prediction method combining whale optimization algorithm and long short-term memory network
Published 2025-05-01“…By introducing the whale optimization mechanism to globally optimize the key parameters of the neural network, the method improved the model’s ability to model complex time series data. …”
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837
DynaFusion-SLAM: Multi-Sensor Fusion and Dynamic Optimization of Autonomous Navigation Algorithms for Pasture-Pushing Robot
Published 2025-05-01“…The results indicate that when the RTAB-Map algorithm fuses with the multi-source odometry, its performance is significantly improved in the laboratory-simulated ranch scenario, the maximum absolute value of the error of the map measurement size is narrowed from 24.908 cm to 4.456 cm, the maximum absolute value of the relative error is reduced from 6.227% to 2.025%, and the absolute value of the error at each location is significantly reduced. …”
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838
Optimizing airway network efficiency with the A-star algorithm: a case study of Ho Chi Minh FIR
Published 2025-06-01“…To address these challenges, this study proposes optimizing the airway network in 2D space using the A-star algorithm, tailored for the HCM FIR. …”
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839
Implementing a novel TOPSIS-sine cosine algorithm-based hybrid optimization in machining medium-hardened steel
Published 2025-07-01“…This research recommended insert type-3 at optimized cutting conditions to improve machinability and sustainability in turning medium-hard AISI 4340 grade steel.…”
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840
Web services composition algorithm based on the location of backup service and probabilistic QoS model
Published 2016-10-01“…For the service selection problem, an improved multiple objective optimization(MOO)algorithm was adopted to calculate the feasible solution set using clustering and QoS model. …”
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