Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

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

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. …"

Simulation parameters for the QL, ABSQL and DSRABSQL algorithms. حسب Jin Zhang (53297)

The optimal route of Berlin52 output by DSRABSQL algorithm. حسب Jin Zhang (53297)

The optimal route of Tsp225 output by DSRABSQL algorithm. حسب Jin Zhang (53297)

The optimal route of Berlin52 output by ABSQL algorithm. حسب Jin Zhang (53297)

The optimal route of Tsp225 output by ABSQL algorithm. حسب Jin Zhang (53297)

Boxplots obtained by testing rat575 for 20 times by each algorithm. حسب Jin Zhang (53297)

Boxplots obtained by testing ch150 for 50 times by each algorithm. حسب Jin Zhang (53297)

Table of relationships between algorithms and five strategies for two experimental groups. حسب Jin Zhang (53297)

Boxplots obtained by testing fl1400 for 10 times by each algorithm. حسب Jin Zhang (53297)

The <i>min</i> obtained by DSRABSQL, S2V-DQN and 2-opt-DRL algorithms for 25 instances. حسب Jin Zhang (53297)

Comparison of average reward values in various simulation scenarios. حسب Honglei Pang (22693724)

الموضوعات:

<i>S</i>_<i>c</i> of ch150, rat575 and fl1400 for algorithms of each group. حسب Jin Zhang (53297)

The value of <i>N</i>_<i>min</i> for ch150, rat575 and fl1400 obtained by three algorithms. حسب Jin Zhang (53297)

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithms in <i>G</i>_<i>1</i>. حسب Jin Zhang (53297)

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithm in <i>G</i>_<i>2</i>. حسب Jin Zhang (53297)

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…"

<i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i>_<i>td</i> for rat575 obtained by three algorithms. حسب Jin Zhang (53297)