Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm time » algorithm i (Expand Search), algorithm pre (Expand Search), algorithm iqa (Expand Search)
time function » sine function (Expand Search), like function (Expand Search), tissue function (Expand Search)
algorithm ai » algorithm a (Expand Search), algorithm i (Expand Search), algorithm _ (Expand Search)
ai function » api function (Expand Search), a function (Expand Search), i function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm time » algorithm i (Expand Search), algorithm pre (Expand Search), algorithm iqa (Expand Search)
time function » sine function (Expand Search), like function (Expand Search), tissue function (Expand Search)
algorithm ai » algorithm a (Expand Search), algorithm i (Expand Search), algorithm _ (Expand Search)
ai function » api function (Expand Search), a function (Expand Search), i function (Expand Search)
-
161
-
162
-
163
-
164
-
165
Iterative convergence curves of each algorithm for the CEC2019 benchmark functions.
Published 2023Subjects: -
166
-
167
Data Sheet 1_Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors.docx
Published 2025“…Additionally, the manuscript now highlights demographic diversity, including variations in age, gender, and academic discipline, as relevant to AI adoption patterns. Ethical concerns, including algorithmic bias, data ownership, and the labor market impact of AI, are addressed to offer a more holistic understanding of resistance behavior. …”
-
168
-
169
Parameters of the test function.
Published 2023“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”
-
170
-
171
-
172
-
173
-
174
-
175
Detailed information of benchmark functions.
Published 2024“…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”
-
176
-
177
-
178
-
179
-
180