Search alternatives:
algorithms adaptive » algorithms adaptation (Expand Search), algorithms adopted (Expand Search)
adaptive function » adaptive fusion (Expand Search), adaptive mutation (Expand Search), adaptive mutations (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
algorithms adaptive » algorithms adaptation (Expand Search), algorithms adopted (Expand Search)
adaptive function » adaptive fusion (Expand Search), adaptive mutation (Expand Search), adaptive mutations (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
-
1
-
2
-
3
ANOVA was performed to test the differences between the algorithms for each indicator.
Published 2024Subjects: -
4
<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
Published 2025“…</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.…”
-
5
-
6
-
7
Modular architecture design of PyNoetic showing all its constituent functions.
Published 2025Subjects: -
8
-
9
-
10
Test functions.
Published 2025“…The DGEP model serves to enhance GEP performance through the effective maintenance of diversity and improved global search functions. The results indicate that adaptive genetic methods strengthen evolutionary procedures for solving complex problems effectively.…”
-
11
-
12
Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey.
Published 2025Subjects: -
13
Fitness comparison on test function.
Published 2025“…The DGEP model serves to enhance GEP performance through the effective maintenance of diversity and improved global search functions. The results indicate that adaptive genetic methods strengthen evolutionary procedures for solving complex problems effectively.…”
-
14
-
15
-
16
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…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). …”
-
17
-
18
-
19
R-squared comparison of test function.
Published 2025“…The DGEP model serves to enhance GEP performance through the effective maintenance of diversity and improved global search functions. The results indicate that adaptive genetic methods strengthen evolutionary procedures for solving complex problems effectively.…”
-
20