Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf by Erick R. Castro (11243697)

“…<p>Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. …”

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)

Subjects:

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

Algorithm and its parameter settings. by Lin Li (28817)

Subjects:

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

Algorithms runtime comparison. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

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

Subjects:

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

Subjects:

Solution results of different algorithms. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

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

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)

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

“…<div><p>Federated learning ensures that data can be trained globally across clients without leaving the local environment, making it suitable for fields involving privacy data such as healthcare and finance. …”

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. …”

Present an algorithm to prove P = NP by Sang-un Lee (22242148)

“…NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”