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Energy-Saving Optimization of HVAC Systems Using an Ant Lion Optimizer with Enhancements
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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy
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A carbon aware ant colony system for the sustainable generalized traveling salesman problem
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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data
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Energy Aware Swarm Optimization with Intercluster Search for Wireless Sensor Network
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Machine learning-based coalbed methane well production prediction and fracturing parameter optimization
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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms
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Solving of the Workspace Boundary of Planar Parallel Mechanism based Modified PSO Algorithm
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The Application of the SubChain Salp Swarm Algorithm in the Less-Than-Truckload Freight Matching Problem
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Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error
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Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model
Published 2022-01-01“…In view of these characteristics, this paper has conducted in-depth research to fully prove the feasibility and superiority of the content of this article. The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
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CEEMDAN-IHO-SVM: A Machine Learning Research Model for Valve Leak Diagnosis
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion
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