Schematic of iteration process of IDE-IIGA. حسب Ling Zhao (111365)

"…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …"

Schematic diagram of IGA chromosome coding. حسب Ling Zhao (111365)

"…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …"

Loss function curve. حسب Xiangqian Xu (17310895)

"…Finally, the loss function CIoU of YOLOv7 is optimized to EIoU loss function to accelerate the convergence speed of the model. …"

Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF حسب Maya Khatun (7437011)

"…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …"

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

S1 Dataset - حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Statistical tests of ACC on the random network. حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Parameters in the experiment. حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Statistical tests of APL on the random network. حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Statistical tests of ACC on the regular network. حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Statistical tests of APL on the regular network. حسب Ruochen Zhang (3434996)

"…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …"

Experiment 5: Clustering networks that are only partially clusterable. حسب Yasamin Tabatabaee (18095491)

Optimal configuration of RC frames considering ultimate and serviceability limit state constraints حسب Marcela Alejandra Juliani (10449275)

"…Structural analyses are performed by using the MASTAN2 software, taking into account geometric nonlinearities and a simplified physical nonlinearity method. The objective function considers the cost of concrete, reinforcement and formwork, and the optimization problems are solved by genetic algorithms. …"

Genetic algorithm meta-parameters. حسب 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. …"

The entity relationship of DDPG algorithm. حسب 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. …"

Post scan feature estimates and confidence ratings. حسب Sam Hall-McMaster (10343795)

Decoding results. حسب Sam Hall-McMaster (10343795)

Decoding evidence for feature triplets on test tasks. حسب Sam Hall-McMaster (10343795)

"…<p>Another neural hypothesis formulated based on the SF&GPI algorithm is that feature triplets associated with the optimal training policies should be reactivated on test trials. …"

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods حسب Jian Ma (19747060)

"…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …"

Comparison in terms of the sensitivity. حسب Ying Li (38224)

"…In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …"