PSO parameters and objective function. حسب André G. Coimbra (21354135)

GA parameters and objective function. حسب André G. Coimbra (21354135)

Case 2: PADR with load scheduling. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Case 1: PADR evaluation without scheduling. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

SPVE hourly varying irradiance. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Hourly varying ambient temperature. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Estimated SPVE generation. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Case 2: Hourly scheduled load profile. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Storage batteries charging level. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Utility pricing scheme. حسب Hisham Alghamdi (20114096)

"…Results indicate that OAWDO works better than current algorithms in terms of reducing power costs, PADR, and rebound peak formation without sacrificing user comfort.…"

Comparison of multi-objective optimization algorithms for coal blending under different parameter settings. حسب Zhongfeng Li (3965060)

الموضوعات:

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations حسب Runduo Liu (10756379)

الموضوعات:

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). حسب Jesse Wheeler (18462457)

Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf حسب Luciana Erika Yaginuma (10477013)

"…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …"

The iterative process of genetic algorithm in the upper-level model. حسب Zhipeng Huang (1759759)

الموضوعات:

Number of passengers and generalized cost for OD pair (3,4). حسب Zhipeng Huang (1759759)

الموضوعات:

Algorithm comparison experiment on the NWPU VHR-10 dataset. حسب Pingping Yan (462509)

الموضوعات:

Evaluation function metrics under six lighting scenarios. حسب Chao Ma (207385)

الموضوعات:

Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

"…The literature shows they are the best, and there is space for new algorithms to deliver Pareto Fronts (PFs) with more convergence and coverage at lower computational costs. …"