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Availability and uncertainty-aware optimal placement of capacitors and DSTATCOM in distribution network using improved exponential distribution optimizer
Published 2025-04-01“…The decision variables include the installation location and the capacity of compensators, which are defined by a novel meta-heuristic algorithm termed the improved exponential distribution optimizer (IEDO). …”
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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells
Published 2025-07-01“…We present the development of an algorithm designed to determine the most efficient trajectories for directional wells, a key method used in oil and gas extraction. …”
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Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches
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Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
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Combining 3-Opt and Improved Discrete Cuckoo Search Algorithm for the Traveling Salesman Problem
Published 2024-01-01“…For 500 iterations, the average best solution of the proposed method differed from the average optimal solution by 0.07%. In the results of the improved discrete cuckoo search algorithm (CSA), this rate was calculated to be 0.08%. …”
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An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization
Published 2018-01-01“…In this paper, we propose an improved MOEA/D (multiobjective evolutionary algorithm based on decomposition) based on reference distance (MOEA/D_RD) to solve the software project portfolio optimization problems with optimizing 2, 3, and 4 objectives. …”
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An Improved Large Neighborhood Search for Network-Level Airport Slot Allocation Optimization
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Optimizing RetinaNet anchors using differential evolution for improved object detection
Published 2025-06-01“…Specifically, we propose an optimization algorithm based on Differential Evolution (DE) that adjusts anchor scales and ratios while determining the most appropriate number of these parameters for each dataset based on the annotated data. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network
Published 2025-04-01“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Productivity Improvement of Garments Industry by Implementing Line Balancing Algorithms—A Case Study
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IGWO-MSVR model for predicting stress in coal seam during drilling process
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Exponential Improvements in the Simulation of Lattice Gauge Theories Using Near-Optimal Techniques
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Improving MPCitH with Preprocessing: Mask Is All You Need
Published 2025-03-01“…Furthermore, we explore the independence of the mask, demonstrating that it can be calculated in parallel, which also enables the optimization of the masked witness calculation. Our optimized implementation of Picnic3 shows significant improvements. …”
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