Multimodal test functions. by HaoCheng Wang (6089567)

Unimodal test functions. by HaoCheng Wang (6089567)

Working scheme of the smooth-index algorithm. by Alexander Borst (32619)

Subjects:

Example performance of the smooth-index algorithm. by Alexander Borst (32619)

Subjects:

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. by Mahmood A. Jumaah (22272371)

Subjects:

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

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. …”

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

“…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …”

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

Subjects:

Evolution of objective function. by Serdar Ekinci (15927455)

“…A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. …”

HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

Detailed information of benchmark functions. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

Subjects:

Parameters of muti-island genetic algorithm. by Shangyang Jin (21772466)

Subjects:

Stander deviation values of different benchmark functions. by Jalal- ud-Din (21474307)

Subjects: