Multiobjective Optimization Method for Energy-Saving Design of Green Buildings by Yuanting Yang, Fengxiang Lu, Lan Qing

“…The results show that compared to classic intelligent optimization design algorithms such as nondominated sorting genetic algorithm II (NSGA-II), the proposed method reduces discomfort time by 1.29% while only increasing energy consumption by 0.61%.…”
Get full text

Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

“…ANN is also compared to the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. …”
Get full text

A New Method for Optimizing the Cabin Layout of Manned Submersibles by Wenzhong Wang, Shusheng Zhang, Cong Ye, Dengkai Chen, Hao Fan

“…The experimental results show that the layout of manned submersible cabin is optimized by combining the theory of deconstruction and reconstruction aesthetics and human factors engineering, and the feasibility and effectiveness of this method are verified by multiobjective genetic algorithm. Deconstruction and reconfiguration layout optimization improves the human reliability of divers. …”
Get full text

FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness by Yuxin He, Aixiang Ma, Yuehui Wang, Xinyi Tian, Sihai Zhao

“…To enhance optimization, the Hippopotamus Optimization (HO) is improved with Genetic Algorithm (GA). Simulation and experimental results demonstrate the proposed GAHO-based FOPID controller achieves a settling time of 5.25 s and an overshoot of 0.88%, significantly surpassing conventional methods. …”
Get full text

Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.…”
Get full text

A Novel Edge Detection Algorithm for Mobile Robot Path Planning by Rami Al-Jarrah, Mohammad Al-Jarrah, Hubert Roth

“…These maps contain the starting and destination points in addition to current positions of the robot and obstacles. Moreover, the genetic algorithm (GA) has been modified and applied to produce time-based trajectory for the optimal path. …”
Get full text

Robust Optimization of Fourth Party Logistics Network Design under Disruptions by Jia Li, Yanqiu Liu, Ying Zhang, Zhongjun Hu

“…Based on the NP-hard characteristic of the problem, the artificial fish swarm algorithm (AFSA) and the genetic algorithm (GA) are developed. The effectiveness of the algorithms is tested and compared by simulation examples. …”
Get full text

An Investigation on Gas Lift Performance Curve in an Oil-Producing Well by Deni Saepudin, Edy Soewono, Kuntjoro Adji Sidarto, Agus Yodi Gunawan, Septoratno Siregar, Pudjo Sukarno

“…It is also constructed here a numerical scheme based on genetic algorithm to compute the optimum oil production.…”
Get full text

Identification Method of Dynamic Parameters of Distribution Network Lines by Bin Li, Jiayang Ma, Ke Hu, Ye Hai Jiang, Hao Jiao, Jinming Chen

“…The experimental data show that the method has some antipower noise ability, and the identification accuracy of this method is better than that of the genetic algorithm and random search algorithm.…”
Get full text

A Novel Algorithm of Quantum Random Walk in Server Traffic Control and Task Scheduling by Dong Yumin, Xiao Shufen

“…In the end of the paper, we compare the quantum random walk optimization method with GA (genetic algorithm), ACO (ant colony optimization), and SAA (simulated annealing algorithm). …”
Get full text

Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit by Wenxin Li, Qiyuan Peng, Qinlin Li, Chao Wen, Yongxiang Zhang, Javad Lessan

“…We apply a fuzzy multiobjective optimization and a nondominated sorting genetic algorithm II to solve the optimization problem and characterize the trade-off between the conflicting objective functions under different types of distances. …”
Get full text

Research on Fault Feature Extraction of Hydropower Units Based on Adaptive Stochastic Resonance and Fourier Decomposition Method by Yan Ren, Jin Huang, Lei-Ming Hu, Hong-Ping Chen, Xiao-Kai Li

“…In order to effectively extract the characteristics of nonstationary vibration signals from hydropower units under noise interference, an adaptive stochastic resonance and Fourier decomposition method (FDM) based on genetic algorithm (GA) are proposed in this paper. Firstly, GA is used to optimize the resonance parameters so that the signal can reach the optimal resonance and the signal-to-noise ratio (SNR) can be improved. …”
Get full text

Bus Route Design Problem for Rural Tourism Objectives: A Multiobjective Approach by Juchen Li, Xiucheng Guo, Ruiying Lu, Pei Liu

“…A solution approach is put forward based on the initial solution set generation procedure and strengthens the elitist genetic algorithm. Finally, the bus network in a rural tourism destination of Nanjing is taken as the case study to validate the feasibility and efficiency of the proposed model.…”
Get full text

Random Target Localization for an Upper Limb Prosthesis by Xinglei Zhang, Binghui Fan, Chuanjiang Wang, Xiaolin Cheng, Hongguang Feng, Zhaohui Tian

“…Secondly, an error correction algorithm where a multipopulation genetic algorithm (MPGA) optimizes backpropagation neural network (BPNN) is utilized to improve the accuracy of ILA. …”
Get full text

Investigation on SIW Slot Antenna Array with Beam Scanning Ability by Yanfei Li, Yang Li

“…A sparse substrate integrated waveguide (SIW) slot antenna array and its application on phase scanning are studied in this paper. The genetic algorithm is used to optimize the best arrangement for 8-element and 7-element sparse arrays over an aperture of 4.5λ0. …”
Get full text

Dynamic Community in static social networks using the gray wolf optimizer algorithm by Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari

“…Gray Wolf Optimizer algorithm is less likely to be trapped than other optimization algorithms such as the genetic algorithm and the particle swarm algorithm. Finally, the results of the experiments showed that the algorithm is better than other algorithms on average.…”
Get full text

First-Train Timetable Synchronization in Metro Networks under Origin-Destination Demand Conditions by Hetian Chai, Xiaopeng Tian, Huimin Niu

“…Then, the Nondominated Sorted Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model, and an improved technique is elaborated to reduce the alternative route choices. …”
Get full text

The Optimization of Transportation Costs in Logistics Enterprises with Time-Window Constraints by Qingyou Yan, Qian Zhang

“…This multiobjective optimization is solved by using a modified genetic algorithm approach. The output of the algorithm is a set of optimal solutions that represent the trade-off between total transportation cost and the fleet size required to service customers. …”
Get full text

Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. Finally, the support vector machine(SVM) classification model was employed to verify performance and reliability of both algorithms. …”
Get full text

Kinetics of Austenite Formation in a Medium-Carbon, Low-Alloy Steel with an Initial Martensite Microstructure: Influence of Prior Austenite Grain Size by Navneeth Rajakrishnan, Morteza Sadeghifar, Pinaki Bhattacharjee, Henri Champliaud, Mohammad Jahazi

“…The differences in austenite formation kinetics as a function of prior austenite grain size were quantified and modeled in the framework of diffusion-controlled nucleation and growth theories using the genetic algorithm optimization.…”
Get full text