Parameters of the test function. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Objective function value statistics. by Chao Li (145513)

Flowchart of step() function. by Raed Alharthi (18340157)

Algorithmic Chronology of Freely Active Agents. by Robert J. Wagner (9857666)

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Algorithmic Chronology of Structural Agents and Water Nodes. by Robert J. Wagner (9857666)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

Subjects:

Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

“…<b>(B)</b> The priority of the top 10 genes was evaluated through MNC, which identifies clusters of protein nodes that are more functionally connected to each other and selects the central proteins within the cluster. …”

Test functions. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. The DGEP model serves to enhance GEP performance through the effective maintenance of diversity and improved global search functions. …”

Flowchart of the FPA algorithm. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Algorithm convergence curve. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Flowchart of the IFPA algorithm. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Function values by the two rescheduling measures. by Yuxuan Long (17720796)

Five types of Beta functions considered. by Luan Carlos de Sena Monteiro Ozelim (16914117)

The proposed method for protein function prediction. by Seyyede Fatemeh Seyyedsalehi (10196767)

Membership function (1^st input). by Tuan Anh Nguyen (121944)

Membership function (2^nd input). by Tuan Anh Nguyen (121944)

Fitness comparison on test function. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. The DGEP model serves to enhance GEP performance through the effective maintenance of diversity and improved global search functions. …”

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

Subjects:

Edge-disjoint spanning trees in the Möbius cube by Xiaorui Li (748417)

“…Leveraging the recursive structure of Möbius cube, we first introduce an algorithm to construct the optimal number (i.e. …”