Summary of optimization algorithms for coal blending in thermal power plants. by Zhongfeng Li (3965060)

Subjects:

Space utilization efficiency for different algorithms in Tongzhou district. by Jia Yu (220212)

Subjects:

(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm. by Dandan Wang (286632)

Subjects:

Comparison of key features of optimization algorithms. by Alireza Norouzpour Shahrbejari (21799964)

Convergence Curves of Different Algorithms. by Wenqin Wang (129400)

Subjects:

Flow chart of multi-objective production scheduling algorithm under fuzzy mathematics theory. by Heshuai Shen (21696119)

Subjects:

Iterative convergence process diagram of multi-objective scheduling algorithm in fuzzy production system. by Heshuai Shen (21696119)

Subjects:

The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”

MTSP route planning diagram standard MTSP, multi-objective optimized MTSP. by Manxian Yang (20521600)

Subjects:

Results comparison of different algorithms for dealing with EELD’s total objective function when VPE is considered. by Wenjing Wang (181404)

Subjects:

Comparison of performance metrics of algorithms in CHPDEED system. by Tao Dong (15551)

Subjects:

Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

The inversion results and curve of the objective function of the G-type geoelectric model. by Zhengyu Xu (8550660)

The inversion results and curve of the objective function of the AQ-type geoelectric model. by Zhengyu Xu (8550660)

The inversion results and curve of the objective function of the H-type geoelectric model. by Zhengyu Xu (8550660)

Results of single objective optimization. by Xin Wen (470639)

“…Furthermore, The improved <i>ε</i>-constraint method is proposed to solve the model, which can directly and quickly find the compromise optimal solution of the multi-objective problem. By using simplex search algorithm, the proposed method dose not need to traverse all grid points, which can significantly reduce computation time. …”

NSGA-IV optimization algorithm parameter configuration. by Yesong Wang (331723)

Subjects:

Flow chart of simplex search algorithm. by Xin Wen (470639)

“…Furthermore, The improved <i>ε</i>-constraint method is proposed to solve the model, which can directly and quickly find the compromise optimal solution of the multi-objective problem. By using simplex search algorithm, the proposed method dose not need to traverse all grid points, which can significantly reduce computation time. …”

Scheduling time of five algorithms. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”