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501
Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels
Published 2017-01-01“…As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K -user interference network, we propose a rank minimization interference minimization algorithm. …”
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502
Integration of electric vehicle charging stations with distributed generation using multi-objective metaheuristic optimization
Published 2025-09-01“…This paper uses a multi-objective optimization approach metaheuristic algorithm, specifically the Whale Optimization Algorithm (WOA), Zebra Optimization Algorithm (ZOA), and Puma Optimization Algorithm (POA), to determine the optimal size and placement of DG units in the presence of EVCS. …”
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503
Smart village construction and college students’ skills entrepreneurship path based on LSTM and simulated annealing algorithm
Published 2025-07-01“…At the same time, in order to improve the success rate and profitability of college students’ skill entrepreneurship projects, a series of simulation experiments were carried out with the help of simulated annealing algorithm, and an optimal path taking into account costs and benefits was determined through the simulation and comparison of different entrepreneurial models. …”
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504
Usage of the optimal fuzzy system models on chloride diffusion of concrete
Published 2025-06-01Get full text
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505
Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm
Published 2022-02-01“…Both were used together with binary cuckoo optimization algorithm BCOA (BCOA-MI and BCOA-EI). The target is to improve classification performance (reduce the error rate and computational complexity) on eight datasets with varying degrees of complexity. …”
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506
Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems
Published 2025-03-01“…In practical applications, optimizing vehicle capacity allocation can significantly improve route optimization performance and service coverage. …”
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507
Enhanced Design of a Hand Exoskeleton: Balancing Force Transmission and Actuation With Evolutionary Algorithms
Published 2025-01-01“…Our simulation results and statistical analyses revealed that using Big Bang-Big Crunch provides high and more consistent results in terms of optimality with lower convergence time. In addition, adding more objectives offers a variety of trade-off solutions to the designers, who might later set priorities for the objectives without repeating the process – at the cost of complicating the optimization algorithm and computational burden. …”
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508
Sustainable supply chain: An optimization and resource efficiency in additive manufacturing for automotive spare part
Published 2025-06-01“…The incorporation of additive manufacturing within the automotive supply chain holds the potential to improve operational efficiency and generate significant cost savings while enhancing sustainability. …”
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509
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510
Implementation of Taguchi and Genetic Algorithm Techniques for Prediction of Optimal Part Dimensions for Polymeric Biocomposites in Fused Deposition Modeling
Published 2022-01-01“…Additive manufacturing has gained popularity among material scientists, researchers, industries, and end users due to the flexible, low cost, and simple manufacturing process. Among number of techniques, fused deposition modeling (FDM) is the most recognized technology due to easy operation, lower environmental degradation, and portable apparatus. …”
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511
Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review
Published 2025-01-01“…Additionally, we discuss verification techniques, including direct and indirect methods, to assess authenticity improvements. Experimental results demonstrate the effectiveness of these techniques in enhancing perception algorithm performance. …”
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512
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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513
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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514
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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515
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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516
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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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518
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519
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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520
A Modified Sine Cosine Algorithm Based on A Novel Locally Weighted Method for Global Optimization Problems
Published 2024-06-01“…According to the experimental data gathered, the LWSCA's convergence, exploration, and exploitation tendencies have all greatly improved. According to the results, the suggested LWSCA method is a good one that performs better than SCA and other rival algorithms in most functions.…”
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