The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

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DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Test results of different algorithms. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”

Performance of traditional ML algorithms for optimal offloading scheme. by Shehr Bano (20421706)

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Performance of different ensemble algorithms for optimal partitioning policy. by Shehr Bano (20421706)

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Performance of traditional ML algorithms for optimal partitioning scheme. by Shehr Bano (20421706)

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Performance of different ensemble algorithms for optimal offloading policy. by Shehr Bano (20421706)

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Transient response of different algorithms-based 2-DOF PIDA controllers. by Erdal Eker (19251018)

Overall systemic risk in banking networks with different matching algorithms. by Bo Zhu (118038)

Steady-state response of different algorithms based 2-DOF PIDA controllers. by Erdal Eker (19251018)

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Overview of the modeling approach using Marxan optimization algorithm. by Boris Salak (18340030)

Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

“…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Time domain performance metrics of different algorithms based 2-DOF PIDA controllers. by Erdal Eker (19251018)

Algorithm of the PbGA search for the optimal PbF. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. by Olaide N. Oyelade (14047002)

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Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Optimized network structure. by Menaa Nawaz (14304920)

Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

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