Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Formulation of example 1. حسب Antoine Falisse (6061601)

Formulation of example 3. حسب Antoine Falisse (6061601)

Formulation of example 2. حسب Antoine Falisse (6061601)

Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

Figures in "A Formulation of Conceptual Design Optimization Problem for Commercial Transport Airplanes with Turboelectric Propulsion" حسب Hikaru Takami (13046217)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

Figures in "A Formulation of the Industrial Conceptual Design Optimization Problem for Commercial Transport Airplanes" حسب Hikaru Takami (13046217)

Comparison of the results of optimizing BP with different algorithms. حسب Peiwen Zhang (1863202)

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Design of Biopharmaceutical Formulations Accelerated by Machine Learning حسب Harini Narayanan (11083710)

الموضوعات:

Entrainment formulation for two-process models. حسب Jiawei Yin (8149467)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

The fitting effect of Nadm-optimized salary forecast model. حسب Yangda Gong (12015173)

الموضوعات:

Comparison of salary forecast results of different algorithms. حسب Yangda Gong (12015173)

الموضوعات:

Comparison of training results of different optimization methods. حسب Yangda Gong (12015173)

الموضوعات:

Comparison of the convergence speed of different optimization methods. حسب Yangda Gong (12015173)

الموضوعات:

Image1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG حسب Wisnu Ananta Kusuma (9276182)

Image2_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG حسب Wisnu Ananta Kusuma (9276182)