Nonlinear Modeling and Identification of an Aluminum Honeycomb Panel with Multiple Bolts by Yongpeng Chu, Hao Wen, Ti Chen

“…In particular, the linear material parameters of the panel are identified via experimental tests at low excitation levels, whereas the nonlinear material parameters of the thin layer are updated by using the genetic algorithm to minimize the residual error between the measured and the simulation data at a high excitation level. …”
Get full text

A multi-objective fuzzy optimization model for multi-type aircraft flight scheduling problem by Ming Wei, Shangwen Yang, Wei Wu, Bo Sun

“…A novel heuristic algorithm based on the Non-dominated Sorting Genetic Algorithm (NSGA-II) is further designed to yield meta-optimal solutions efficiently for such a Non-deterministic Polynomial (NP) problem. …”
Get full text

Pedestrian Comfort Analysis and Parameterized Optimization Design for Raised Floors by Juanli Guo, Haonan Liang, Jiehui Wang, Yijie Cao

“…The study then quantitatively assesses the pedestrian comfort of raised floors based on natural frequency and peak acceleration measurements, proposing an optimization design method using a multi-island genetic algorithm (MIGA). By adjusting parameters such as the support leg distance, beam shape, and support board surface layer thickness, an optimal balance between pedestrian comfort and heat transfer performance is achieved. …”
Get full text

Synergistic Optimization Method for URT Network Train Connection Scheme in Peak and Off-Peak Periods by Ruihua Xu, Xuyang Song, Feng Zhou, Fangsheng Wang

“…Subsequently, a corresponding solution method based on a genetic algorithm and simulation was designed. Finally, the Suzhou URT network was used as a case study, and the passenger flow of the transfer station was simulated and calculated using relevant automatic fare collection (AFC) data. …”
Get full text

Modeling and Dynamical Analysis of the Water Resources Supply-Demand System: A Case Study in Haihe River Basin by Chongli Di, Xiaohua Yang

“…Then, the gray code hybrid accelerating genetic algorithm (GHAGA) is adopted to identify the unknown parameters of the system based on the statistic data (1998–2009). …”
Get full text

Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness by Xusheng Gan, Honghong Zhang, Yarong Wu, Jingjuan Sun, Guhao Zhao, Fugen Lin

“…Secondly, combined with the advantages of the artificial potential field (APF) method and the genetic algorithm (GA), a hybrid solution strategy for conflict resolution based on APF-GA is proposed. …”
Get full text

Identification of Unknown Parameters and Orders via Cuckoo Search Oriented Statistically by Differential Evolution for Noncommensurate Fractional-Order Chaotic Systems by Fei Gao, Xue-Jing Lee, Heng-qing Tong, Feng-xia Fei, Hua-ling Zhao

“…Simulations are done to estimate a series of noncommensurate and hyper fractional chaotic systems with the new approaches based on CSODE, the cuckoo search, and Genetic Algorithm, respectively. The experiments’ results show that the proposed identification mechanism based on CSODE for fractional orders and parameters is a successful method for fractional-order chaotic systems, with the advantages of high precision and robustness.…”
Get full text

Resilience-Based Optimization of Postdisaster Restoration Strategy for Road Networks by Xinhua Mao, Jibiao Zhou, Changwei Yuan, Dan Liu

“…Due to the NP-hardness of the model, a genetic algorithm is developed to solve the model. Finally, a case study is conducted to demonstrate the effectiveness of the proposed method. …”
Get full text

A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators by Qinqin Chen, Anning Ni, Chunqin Zhang, Jinghui Wang, Guangnian Xiao, Cenxin Yu

“…Three HAs are considered, including genetic algorithm (GA), evolutionary strategy (ES), and bat algorithm (BA). …”
Get full text

Comparative Study of Dual-Rotor Permanent Magnet Machines with Series and Parallel Magnetic Circuits by Zhitong Ran, Zi-Qiang Zhu, Dawei Liang

“…The machines are optimized using the finite element analysis (FEA) based on the genetic algorithm. It shows that the PDRPM machine with the tooth coil (TC) configuration has the highest permanent magnet (PM) utilisation compared to the PDRPM with toroidal winding (TW) configuration and the SDRPM machine with the TC configuration under different slot/pole number combinations. …”
Get full text

An Improved Multiobjective Algorithm: DNSGA2-PSA by Dan Qu, Xianfeng Ding, Hongmei Wang

“…To improve the diversity and decrease execution time of the nondominated sorting genetic algorithm II (NSGA-II), an improved algorithm is presented in this paper, which adopts a new vector ranking scheme to decrease the whole runtime and utilize Part and Select Algorithm (PSA) to maintain the diversity. …”
Get full text

Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…A customised version of the nondominated sorting genetic algorithm III is employed to ensure efficient solution of the PM model with human reliability—which is considered a constrained multiobjective combinatorial optimisation problem. …”
Get full text

HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery by D. Jalal Nouri, M. Saniee Abadeh, F. Ghareh Mohammadi

“…In recent years, imperialist competitive algorithm (ICA), genetic algorithm (GA), and hybrid fuzzy classification systems have been successfully and effectively employed for classification tasks of data mining. …”
Get full text

Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

“…Meanwhile, bi-population based on competitive swarm optimizer and genetic algorithm are applied for better exploration and exploitation in high-dimensional search space. …”
Get full text

Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour by Gopi Ram, Durbadal Mandal, Rajib Kar, Sakti Prasad Ghoshal

“…As compared to conventional hyper beamforming of linear antenna array, real coded genetic algorithm (RGA), particle swarm optimization (PSO), and differential evolution (DE) applied to the hyper beam of the same array can achieve reduction in sidelobe level (SLL) and same or less first null beam width (FNBW), keeping the same value of hyperbeam exponent. …”
Get full text

Bio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments by Shiwei Lin, Jianguo Wang, Bomin Huang, Xiaoying Kong, Hongwu Yang

“…It is compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Transit Search (TS) algorithms by benchmark functions. …”
Get full text

Mechanism Analysis and Parameter Optimization of Mega-Sub-Isolation System by Xiangxiu Li, Ping Tan, Xiaojun Li, Aiwen Liu

“…Considering the number and location of the isolated substructures, a procedure to optimally design the isolator parameters of the mega-sub-isolation system is put forward based on the genetic algorithm with base shear as the optimization objective. …”
Get full text

Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection by Ming Wei, Tao Liu, Bo Sun, Binbin Jing

“…As this study explored an NP-hard problem, a two-stage genetic algorithm combining the Dijkstra search method was further developed to yield metaoptimal solutions to the model within an acceptable time. …”
Get full text

Bifurcations in a Nonlinear Dynamical Model between Western Pacific Subtropical High Ridge Line Index and Its Summer Monsoon Impact Factors by Mei Hong, Ren Zhang, Longxia Qian, Jingjing Ge, Jian Chen

“…Based on the concept of dynamical model reconstruction, this paper reconstructs a nonlinear dynamical model of subtropical high ridge line (SHRL) and summer monsoon factors from recent 20 years data. Then, using genetic algorithm (GA), model inversion and model parameter optimization are carried out. …”
Get full text

Bi-Objective Optimization for Vehicle Routing Problems with a Mixed Fleet of Conventional and Electric Vehicles and Soft Time Windows by Peixin Zhao, Fanfan Liu, Yuanyuan Guo, Xiaoyang Duan, Yunshu Zhang

“…Finally, the nondominated sorting genetic algorithm II (NSGA-II) is employed to deal with this problem. …”
Get full text