Average mean values by algorithms on benchmark functions. حسب Muhammad Zubair Rehman (11243478)

الموضوعات:

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

"…<p>Performance profile of the four algorithms based on the function value of iteration number.…"

Results of proposed algorithms and algorithms in [9] for 18 instances. حسب Jin Zhang (53297)

Loss function values of target detection algorithms during training. حسب Guodong Su (7876934)

"…<p>Loss function values of target detection algorithms during training.…"

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Benchmark functions T-test for the proposed and compared algorithms. حسب El-Sayed M. El-kenawy (14581088)

Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. حسب El-Sayed M. El-kenawy (14581088)

The obtained cost function values with respect to each run of different algorithms. حسب Davut Izci (15927452)

الموضوعات:

Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. حسب Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. حسب Rui Zhang (13940)

Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. حسب El-Sayed M. El-kenawy (14581088)

Flowchart of the proposed algorithm. حسب Heewon Chung (2881286)

الموضوعات:

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

Objective function values of each algorithm for solving large-scale problems. حسب Lijun Fan (2007628)

"…<p>Objective function values of each algorithm for solving large-scale problems.…"

Initialization parameter values for the comparison algorithms. حسب Muhammad Zubair Rehman (11243478)

الموضوعات:

Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. حسب El-Sayed M. El-kenawy (14581088)

A heatmap of the examined values for Jaya algorithm parameters. حسب Fadi K. Dib (5204807)

الموضوعات:

Sensor value scenario for average value algorithm. حسب Gourab Saha (8987405)

الموضوعات:

Route for bays29 output by ABSQL algorithm. حسب 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. …"