Emission Characteristics of Volatile Organic Compounds from Typical Coal Utilization Sources: A Case Study in Shanxi of Northern China by Yang Xu, Hualong Yu, Yulong Yan, Lin Peng, Rumei Li, Cheng Wang, Zhiyong Li

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Exploiting social reciprocity for auction-based spectrum allocation in femtocell networks by Feng Zhao, Haibo Tang, Hongbin Chen

“…Simulation results show that our algorithm can achieve the optimal solution to the optimization problem.…”
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Mobile Robot Localization Based on Vision and Multisensor by Lina Yao, Fengzhe Li

“…Finally, a local BA (bundle adjustment) joint optimization and global graph optimization are established, so as to obtain more accurate positioning results.…”
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Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks by Viera Bartosova, Svetlana Drobyazko, Sergii Bogachov, Olga Afanasieva, Maria Mikhailova

“…The article is devoted to the problem of optimization of search request ranking algorithms in the digital information retrieval system. …”
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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. This method effectively improves the operation cycle and link efficiency and achieves the purpose of optimization. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…The configuration of optimal parameters for these models typically requires optimization algorithms, but conventional algorithms may struggle with fixed search patterns and limited robustness. …”
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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…Eight learning algorithms including traditional backpropagation, classic evolutionary algorithms such as biogeography-based optimization, particle swarm optimization, genetic algorithm, population-based incremental learning, competitive swarm optimization, differential evolution, and state-of-the-art jSO algorithm are used for training of dendritic neuron model. …”
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A Pest Management Model with Stage Structure and Impulsive State Feedback Control by Guoping Pang, Zhiqing Liang, Weijian Xu, Lijie Li, Gang Fu

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Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts by Andriy Viktorovich Goncharenko

“…The goal of this paper is to investigate the possible directions of some specified methods for aeronautical and aerospace material and structure effectiveness modeling and optimization. Multioptionality hybrid function uncertainty conditional optimization doctrine application is supposed to be implemented for a degrading failure problem optimal solution determination. …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

“…The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary differential equations. …”
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Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid by Rui-Cheng Dai, Bi Zhao, Xiao-Di Zhang, Jun-Wei Yu, Bo Fan, Biao Liu

“…Therefore, for the optimization problem of virtual energy storage power, a continuous rolling optimization algorithm to determine the feasible solution of the high-dimensional complex constraint optimization problem is proposed to solve the optimization problem. …”
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Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation by Guangzhou Chen, Lifeng Jiao, Xinhai Li

“…By comparison with other optimization algorithms, the results show that the difference search algorithm has the following characteristics: good optimization performance, the simple principle, easy implement, short program code, and less control parameters required to run the algorithm. …”
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Steepest-Ascent Revisited: Unconstrained Missile Trajectory by Elsayed M. Khalil, Hao Zhou, Wanchun Chen

“…A Steepest-Ascent numerical procedure for offline trajectory optimization of a surface-to-surface missile attacking a stationary target is presented. …”
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Unit commitment in microgrid systems using artificial intelligence techniques by Barnabas I. Gwaivangmin, Ganiyu A. Bakare, Ya’U S. Haruna, Abdullahi L. Amoo

“…The study compared three techniques: particle swarm optimization (PSO), Enhanced hybrid particle swarm optimization–ant colony optimization (E-HPSO–ACO), and Enhanced hybrid particle swarm optimization–simulated annealing (E-HPSO–SA). …”
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Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment by S. V. Nethaji, M. Chidambaram

“…To solve these issues, this work introduces Differential Grey Wolf (DGW) load balancing with stochastic Bellman deep reinforced resource optimization (DGW-SBDR) in fog situations. A Differential Evolution-based Grey Wolf Optimization algorithm based on load balancing has been developed for optimal resource management. …”
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Mathematical Modeling for Water Quality Management under Interval and Fuzzy Uncertainties by J. Liu, Y. P. Li, G. H. Huang

“…IFCP is derived from incorporating techniques of fuzzy credibility-constrained programming (FCP) and interval-parameter programming (IPP) within a general optimization framework. IFCP is capable of tackling uncertainties presented as interval numbers and possibility distributions as well as analyzing the reliability of satisfying (or the risk of violating) system’s constraints. …”
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Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction by Wei Nie, Shuxian Liu, Hang Yin, Shasha Lu, Dongxu Zhao, Hong Xu

“…To reduce structural damage and obtain better comfort, the displacement response and acceleration response are optimized simultaneously in this paper, achieving multiobjective optimization. …”
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Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race by David Garzón Ramos, Federico Pagnozzi, Thomas Stützle, Mauro Birattari

“…In this approach, a designer specifies a mission that the swarm must perform, and an optimization algorithm searches for the control software that enables the robots to perform the given mission. …”
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Modal Strain Based Method for Dynamic Design of Plate-Like Structures by Yadong Zhou, Shaoqing Wu, Natasa Trisovic, Qingguo Fei, Zhiyong Tan

“…Design optimization of dynamic properties, for example, modal frequencies, can be of much importance when structures are exposed to the shock and/or vibration environments. …”
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Evaluation Model of Eco-Environmental Economic Benefit Based on the Fuzzy Algorithm by Ming Gao, Xiaojing Lu

“…Simultaneously, by evaluating the method using the analytic hierarchy process and fuzzy optimum seeking method, linear comprehensive fuzzy optimization, average comprehensive fuzzy optimization, and variable fuzzy pattern recognition model of optimizing method, the results demonstrate that the method not only can be used to plan optimization but can also provide a good evaluation for each program, the result is reasonable and reliable, and applicable to the comprehensive benefits of water resource management.…”
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