Impact of Participatory Community Planning on Publicity in Public Space Renewal Based on Machine Learning Algorithm Based on Child-friendly Concept by Yang Dai, Jiayi Li

“…And the improved gray wolf optimization algorithm is combined with it for the shortcomings of the technology’s algorithm accuracy and other performance, which is not good enough. …”
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Energy-saving route optimizationin a software-defined wireless sensor network by Huifeng Huang, Zhihong Wu, Shaoju Tang

“…The existing energy-saving routing protocols usually compute the route in isolation, which is disadvantageous to globally optimize the energy consumption. In this article, we propose a novel energy-saving route optimization solution based on the software-defined wireless sensor network. …”
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Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure by Wagner B. Lenz, Mauricio A. Ribeiro, Rodrigo T. Rocha, Jose M. Balthazar, Angelo M. Tusset

“…The neighbour of selected variables is analyzed and then optimized by a process utilizing the particle swarm optimization (PSO) algorithm. …”
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CHOICE OF RATIONAL PARAMETERS OF THE FRAME CONSTRUCTION OF OFFSHORE PLATFORM by A. V. Borodulia, A. N. Soloveev, V. V. Naprasnikov, M. A. Mirzavand

“…Preparation of an optimization construction model is described, optimization calculations are carried out and recommendations on choosing ra-tional construction parameters are given.…”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…To verify the effectiveness of the improved algorithms, the optimization performance of improved DS in kinetic parameter estimation is studied and compared with that of the basic DS algorithm, differential evolution, artificial bee colony optimization, and quantum-behaved particle swarm optimization. …”
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Experimental Study on Limestone Cohesive Particle Model and Crushing Simulation by Huaiying Fang, Dawei Xing, Jianhong Yang, Fulin Liu, Junlong Chen, Jiansheng Li

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General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation by Haihua Chen, Haoran Li, Mingyang Yang, Changbo Xiang, Masakiyo Suzuki

“…To reduce the computational complexity of heuristic algorithms for these super-resolution techniques of DOA, this paper proposes three general improvements of heuristic algorithms, i.e., the optimization of the initialization space, the optimization of evolutionary strategies, and the usage of parallel computing techniques. …”
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Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition by Xiaoya Hu

“…The prediction effect of the swarm optimization BP neural network model is better than that of the BP neural network model. …”
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A Gas Sensor Design and Heat Transfer Simulation with ZnO and TiO2 Sensing Layers by Gözde Konuk Ege, Hüseyin Yüce, Garip Genç

“…The most important stage in the development of new generation MEMS-based devices is the design and optimization stage. However, device design and optimization processes are developed in a laboratory by empirical approaches. …”
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Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System by Paul Kabiru, Keren Kaberere, Stanley Kamau

“…A modal participation factor is employed to find out the most effective feedback signal for the POD. A hybrid optimization algorithm based on the grey wolf optimizer (GWO) and particle swarm optimizer (PSO) is applied for parameter optimization of the damping controllers considering a multiobjective eigenvalue-based optimization problem. …”
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Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control by Joshua Sunder David Reddipogu, Vinodh Kumar Elumalai

“…This paper presents an adaptive inertia weight particle swarm optimization (AIWPSO) employed for solving the multiobjective weight optimization problem of LQR applied for the vehicle active suspension system (ASS). …”
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Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction by Hua-pu Lu, Zhi-yuan Sun, Wen-cong Qu

“…A two-stage model for correction coefficients optimization is put forward to simplify the bilevel optimization model. …”
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Simulation Study of Swarm Intelligence Based on Life Evolution Behavior by Yanmin Liu, Ying Bi, Changling Sui, Yuanfeng Luo, Zhuanzhou Zhang, Rui Liu

“…Additionally, PSO is a random swarm intelligence algorithm with the genetic and sociological property, so we embed the improved mutation and crossover operation to particle swarm optimization (PSO) and designed DNA-PSO algorithm to optimize single and multiobjective optimization problems. …”
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A Cooperative Intermodal Transportation Network Flow Control Method Based on Model Predictive Control by Yuankai Huang, Qicai Zhou, Xiaolei Xiong, Jiong Zhao

“…With the development of information technology, intermodal transport research pays more attention to dynamic optimization and multi-role cooperation. The core issue of this paper was to realize container routing with dynamic adjustment, real-time optimization, and multi-role cooperation characteristics in the intermodal transport network. …”
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Sparse Antenna Array Design for MIMO Radar Using Multiobjective Differential Evolution by Zhi-Kun Chen, Feng-Gang Yan, Xiao-Lin Qiao, Yi-Nan Zhao

“…To solve this optimization problem, the differential evolution (DE) algorithm with multistrategy is introduced and PSL suppression is treated as an inequality constraint. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
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Methods for Solving Generalized Nash Equilibrium by Biao Qu, Jing Zhao

“…The algorithms are based on a reformulation of the generalized Nash equilibrium using Nikaido-Isoda function as unconstrained optimization. We prove that our algorithms are globally convergent and the convergence analysis is not based on conditions guaranteeing that every stationary point of the optimization problem is a solution of the GNEP.…”
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Strong and Total Lagrange Dualities for Quasiconvex Programming by Donghui Fang, XianFa Luo, Xianyun Wang

“…We consider the strong and total Lagrange dualities for infinite quasiconvex optimization problems. By using the epigraphs of the z-quasi-conjugates and the Greenberg-Pierskalla subdifferential of these functions, we introduce some new constraint qualifications. …”
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An Effective Dataset Preprocessing Method in Tilted Gear Defects Target Detection by Lifen Tu, Qi Peng, Aiqun Zhang, Xiao Yang, Jiaqi Wang

“…In order to verify the effectiveness of the dataset optimization method proposed in this article, the same configuration file is used to train and evaluate the gear defect detection model with the dataset before and after optimization, respectively. …”
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The Research and Mechanism of Extracting Vitamin B6 Using Aqueous Two-Phase Systems by Changyu Lu, Luning Gao, Aibing Chen, Duo Li, Yahong Zhou

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