Pseodo-random number initialization vs good nodes set initialization. by Junhao Wei (6816803)

Populations generated by the initialization of the good nodes set. by Yanzhao Gu (21192659)

Population initialized by Good Nodes Set. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

(a) Random initialized population distribution (b) Good point set initialized population distribution. by Tengfei Ma (597633)

Initial GA Criteria. by Filipe Menezes (13205305)

Initial population example. by Filipe Menezes (13205305)

Participants’ experience in initial use of the QuPI. by Jennifer Hornung Garvin (20765727)

Subjects:

An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction by Muhammad Sam'an (20649621)

“…The research incorporated Ant Colony Optimization (ACO) algorithm for better population initialization to overcome this limitation. …”

Points of interest for extracting the initial parameters, located in Fig 9. by Filipe Menezes (13205305)

The results of fitting input fluxes and initial concentrations of key molecular species in a subcellular biochemical network model. by Máté Mohácsi (20469514)

Initialize the delivery segmentation map. by Meilin Zhu (688698)

Initial vehicle delivery routes in Phase 3. by Yingbo Mao (22522192)

“…Next, the multi-objective genetic algorithm is continued to design initial routes for vehicles between parking points. …”

Population initialized by Pseudo-Random Number. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

Comparison of algorithms. by Yanqiu Liu (783420)

“…To address this problem, a Heuristic Cross Brainstorm Optimization Algorithm (HCBSO) has been selected, and strategies such as segment-based initial solution construction and heuristic crossover have been designed to enhance the algorithm’s performance. …”

Algorithmic pseudocode. by Yanqiu Liu (783420)

“…To address this problem, a Heuristic Cross Brainstorm Optimization Algorithm (HCBSO) has been selected, and strategies such as segment-based initial solution construction and heuristic crossover have been designed to enhance the algorithm’s performance. …”

Goodness-of-fit metrics from an independent evaluation of near-infrared (Neospectra) models calibrated with the Open Soil Spectral Library (OSSL). by José L. Safanelli (20552654)

Subjects:

Goodness-of-fit metrics from an independent evaluation of the mid-infrared (MIR) models calibrated with the Open Soil Spectral Library (OSSL). by José L. Safanelli (20552654)

Subjects:

Algorithmic flow chart. by Yanqiu Liu (783420)

“…To address this problem, a Heuristic Cross Brainstorm Optimization Algorithm (HCBSO) has been selected, and strategies such as segment-based initial solution construction and heuristic crossover have been designed to enhance the algorithm’s performance. …”

Algorithm parameters. by Ruyi Dong (9038174)

“…LLSKSO achieves the performance improvement by introducing several strategies. First, the initial population is homogenized using the good point set mechanism. …”

Goodness-of-fit metrics from an independent evaluation of the visible–near-infrared (VisNIR) models calibrated with the Open Soil Spectral Library (OSSL). by José L. Safanelli (20552654)

Subjects: