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Vehicle Routing Problem for Collaborative Multidepot Petrol Replenishment under Emergency Conditions
Published 2021-01-01“…As a method to solve the model, genetic variation of multiobjective particle swarm optimization algorithm is considered. The effectiveness of the proposed method is analyzed and verified by first using a small-scale example and then investigating a regional multidepot petrol distribution network in Chongqing, China. …”
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A cooperative jamming resource allocation method based on PSO-SSNOA
Published 2025-05-01Get full text
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2226
Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM
Published 2015-01-01Get full text
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2227
Research on Damage Identification of Nonuniform Microcrack in Beam Structures
Published 2021-01-01Get full text
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2228
Study on Fault Arc Recognition Based on Back-Propagation Neural Network
Published 2020-09-01Get full text
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2229
Real-time active cell balancing using QPSO-controlled switched capacitor and transformer methods
Published 2025-07-01Get full text
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Economic Dispatch Using Parameter-Setting-Free Harmony Search
Published 2013-01-01Get full text
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes
Published 2019-01-01Get full text
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Intelligence model-driven multi-stress adaptive reliability enhancement testing technology
Published 2025-06-01Get full text
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Prediction of Transformer Residual Flux Based on J-A Hysteresis Theory
Published 2025-03-01Get full text
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Improved sequence-based localization applied in coal mine
Published 2016-11-01“…Sequence–centroid localization contributes to improving this issue, but the location error on the boundary of whole area is unsatisfactory as well. This article proposes an improved sequence-based localization method which is integrated with quantum-behaved particle swarm optimization, as quantum-behaved particle swarm optimization makes good use of the search performance of global optimal solution. …”
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Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion
Published 2014-01-01“…The experimental results based on subsets of three public and one private iris image databases demonstrate three contributions of this paper. (1) Our experimental results prove that partial iris image cannot completely replace the entire iris image for iris recognition system in several ways. (2) The proposed quality evaluation algorithm is a self-adaptive algorithm, and it can automatically optimize the parameters according to iris image samples’ own characteristics. (3) Our feature information fusion strategy can effectively improve the performance of iris recognition system.…”
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