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461
Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms
Published 2024-06-01“…This method was compared against other well-known algorithms such as Artificial Bee Colony (ABC), Dragonfly Algorithm (DA), Grey Wolf Optimizer (GWO), Cuckoo Search (CS), Composite Grey Wolf Optimizer (CGWO), and the standalone PSO and GWO methods. …”
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462
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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463
A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks
Published 2013-09-01“…Based on the complex network theory, this paper proposed a novel betweenness addition edges expansion algorithm (BAEE). With betweenness calibration, BAEE algorithm expanded the minimum-cost edges to optimize the network topology. …”
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464
Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. …”
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465
The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm
Published 2024-01-01“…Acknowledging the constraints of flexibility in winter heating, the study aims to improve unit coal use optimization and lower emissions. …”
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466
Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management
Published 2025-06-01“…The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory. …”
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467
Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm
Published 2025-06-01“…In modern oil and gas exploration and development, wellbore trajectory optimization and control is the key technology to improve drilling efficiency, reduce costs, and ensure safety. …”
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468
Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm
Published 2012-01-01“…The results have been checked with some of the most common optimizing algorithms like Karaboga’s original artificial bee colony, bees algorithm (BA), improved particle swarm optimization (IPSO), Lukasik firefly algorithm (LFFA), and self-adaptive penalty function genetic algorithm (SAPF-GA). …”
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469
Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm
Published 2024-01-01“…Consequently, the cache access pattern is optimized, leading to fewer cache misses and improved search times. …”
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470
Multiobjective Optimization Method for Polymer Injection Molding Based on a Genetic Algorithm
Published 2019-01-01“…A mathematical model considering an objective and impact factors is developed using the response surface method. The optimal combination of the impact parameters is determined using a multiobjective genetic algorithm. …”
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471
Optimization of Communication Quality for Energy-Limited Inspection AAV: A Hybrid Algorithm
Published 2024-01-01“…Numerical results show that the proposed algorithm is effective in optimizing the communication quality of the inspection AAV with limited energy, and its performance is improved by about 15%-50% compared with other benchmarks.…”
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472
Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm
Published 2025-04-01“…The aquila optimization algorithm is one of the most recent and efficient algorithms. …”
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473
Prediction and optimization of robot processing technology based on neural network and genetic algorithm
Published 2025-04-01“…Finally, the genetic algorithm was applied to optimize grinding process parameters with material removal rates as the indicator.ResultsThe grinding process parameters have significant effects on grinding forces, but the order of major and secondary effects of different parameters varies with grinding force components. …”
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474
Optimization and Application of Fuzzy Neural Network
Published 2020-12-01“…In order to improve the generalization ability,convergence speed and reduce the error of the fuzzyneural network,the method of using momentum gradient descent algorithm and RMSprop optimization algorithm to optimize the fuzzy neural network is proposed. …”
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475
An Improved KF-RBF Based Estimation Algorithm for Coverage Control with Unknown Density Function
Published 2019-01-01“…Compared with the other estimation algorithms, a novel sampling regulation mechanism is designed to improve the estimation performance and reduce the computational load. …”
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476
The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader
Published 2025-06-01“…The optimized parameters improve machine performance, reduce operational costs, and increase equipment lifespan.…”
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477
Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V
Published 2025-01-01“…This paper proposes Spike-RISC, a holistic algorithm/instruction set architecture (ISA) co-optimization for efficient SNN inference. …”
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478
An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network
Published 2016-01-01“…Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. …”
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479
Dynamic optimization of solar DG and shunt capacitor placement to mitigate the impact of EV charging stations on power distribution network
Published 2025-09-01“…Simulation results confirm the superior performance of QRSMA in improving voltage profiles, reducing power losses, and achieving better computational efficiency compared to conventional optimization algorithms. …”
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480
Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning
Published 2025-03-01“…Grey Wolf Optimization (GWO) is one of the most popular algorithms for solving such problems. …”
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