Comparative overview of multi-objective optimization algorithms. by Xiaodan Li (132227)

Overview of the C&CG method. by Tianhe Sun (21145341)

Subjects:

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

“…<p>Results on solving TSS using different evolutionary and greedy algorithms.…”

Solving flow chart of the IBBPSO algorithm. by Kuiyuan Pan (21145338)

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Comparison of planning results for different uncertainty quantification methods. by Tianhe Sun (21145341)

Subjects:

Metaheuristic algorithms for solving DNA-related problems. by Eslam Hamouda (5172083)

An instance of the IPP that can be solved by applying the algorithms for the DPP. by Jordan Moutet (21800145)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

Compare topologies when using the WOA algorithm to solve the RNP problem by different methods. by Le Huu Binh (18340233)

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Compare topologies when using the MVO algorithm to solve the RNP problem by different methods. by Le Huu Binh (18340233)

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Using the descent direction in a method of centres algorithm for solving multi-objective programming problems by A. H. Dehmiry (21337839)

Comparison of different algorithms. by Zhijian Qu (6920060)

“…Finally, the model is solved by the multi-objective optimization algorithm to obtain a series of maintenance solutions in the form of Pareto non-inferior solution sets. …”

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Solving the multi-commodity flow problem using an evolutionary routing algorithm in a computer network environment by Noel Farrugia (19945083)

Convergence plots for solving TSS for SNAP networks. by Alexander Andreev (16822333)

Pareto front representations obtained by solving the BIOBJ problem using the ROSE algorithm and the NBI algorithm, as well as a visualization of the solution process of the ROSE algorithm in the objective space. by Ihab Hashem (21156806)

The optimized sensor coverage using the MODBO algorithm. by Wenxing Wu (16853002)

The parameters of algorithms. by Le Huu Binh (18340233)

Subjects:

Pareto frontier solution solving process. by Yuhang Wang (332111)

“…The improved NSGA-II algorithm is used to solve the Pareto front efficiently, and the search efficiency is improved by the elite reservation strategy and the congestion adaptive adjustment mechanism. …”