Best convergence curves of the algorithms with respect to iteration number. by Erdal Eker (19251018)

Tuning of hyper-parameters in each iteration for AMO. by Shehr Bano (20421706)

Tuning of hyper-parameters in each iteration for AMP. by Shehr Bano (20421706)

Iteration diagram of genetic algorithm. by Ke Peng (2220973)

The relaxed gradient based iterative algorithm for solving the generalized coupled complex conjugate and transpose Sylvester matrix equations by Yanping Long (10171727)

“…(Journal of the Franklin Institute, 2018), we adopt relaxation technique and introduce relaxation factors into the gradient based iterative (GI) algorithm, and the relaxed based iterative (RGI) algorithm is established to solve the generalized coupled complex conjugate and transpose Sylvester matrix equations. …”

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

The optimized algorithm based on machine learning for inverse kinematics of two painting robots with non-spherical wrist by Xiaoqi Wang (164823)

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... by Creighton M. Lisowski (22756444)

Wrapper-based feature selection methods. by Xiaohua Zeng (793632)

Performance comparison of four optimization methods. by Xuexing Du (20624042)

“…The relative error is calculated as , where <b>x</b>_<i>o</i> is the target solution and is the estimation. The algorithms stop when the relative error falls below 0.01; P-SBI achieves a solution with a relative error less than 0.01 in just 3 iterations.…”

Video1_Reducing the muscle activity of walking using a portable hip exoskeleton based on human-in-the-loop optimization.AVI by Linghui Xu (6295400)

“…However, a lengthy period (several hours) of continuous walking for iterative optimization for each individual makes it less practical, especially for disabled people, who may not endure this process. …”

Online sextuplet mining for SNAP-loss. by Muhammad Usman Tariq (11022141)

Description of the real-world dataset. by Fadi K. Dib (5204807)

“…Unlike most population-based methods, Jaya algorithm is a parameter-less algorithm in that it requires no algorithm-specific control parameters and only population size and number of iterations need to be specified, which makes it easy for researchers to apply in the field. …”

Screenshot of our visualization tool MGDrawVis. by Fadi K. Dib (5204807)

“…Unlike most population-based methods, Jaya algorithm is a parameter-less algorithm in that it requires no algorithm-specific control parameters and only population size and number of iterations need to be specified, which makes it easy for researchers to apply in the field. …”

Triad and tetrad descriptions with corresponding hierarchy types. by Travis R. Moore (19532635)

Table1_A distribution network planning method based on the integration of operation and planning and coordinated with the transmission network.XLSX by Zhongqi Cai (818136)

“…Using a heterogeneous decomposition algorithm (HGD), the optimization model alternates between the two networks, assisted by injected parameters for global optimality. …”

Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery" by Tianchi Wu (11062323)

“…The offset algorithm was developed with normal vector of vertices and iterative bisection, outputting a solid layer of elements based on input triangle mesh and was validated against non-linear surface in vertebra body. …”