Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

(a) Radar chart of these algorithms (CEC2021), (b) The sorting diagram of these algorithms (CEC2021). by Yu Liu (6938)

Subjects:

The confusion matrix of the different algorithms. by Qiushi Wang (417314)

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

“…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Subjects:

Convergence curve of shift function. by Yong Gao (29929)

Subjects:

Algorithm testing. by Ziad M. Ali (12516532)

“…The solutions are expressed in terms of the Lambert W function and solved using a special transcendental function approach called Special Trans Function Theory (STFT). …”

Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

Specific information on the 7 benchmark functions. by M. A. JiMing (19207527)

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Data_Sheet_1_SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation.docx by Ekaterina Mikhaylets (17865407)

“…<p>The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). …”

Unimodal benchmark functions. by Rahila Hafiz (18137254)

“…We propose a fusion of this algorithm with a discrete recombinant evolutionary strategy to enhance initialization diversity. …”

Multimodal benchmark functions. by Rahila Hafiz (18137254)

“…We propose a fusion of this algorithm with a discrete recombinant evolutionary strategy to enhance initialization diversity. …”

Algorithm parameters. by Guilin Yang (583364)

Subjects:

The benchmark functions. by Shuhui Yu (1535500)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)