DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

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)

Performance profiles of these algorithms on the basis of the number of function evaluations. by Xianfeng Ding (535904)

“…<p>Performance profiles of these algorithms on the basis of the number of function evaluations.…”

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

“…<p>The schematic view of the Radial Basis Function (RBF) algorithm.</p>…”

Changes in Punishment Function. by Huiyue Xu (12022388)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

The experiment result comparison of algorithms. by Siyu Li (404947)

“…The problem is accurately described by a mixed integer programming model with the objective to minimize total construction cost and total operation cost. We develop a hybrid heuristic algorithm based on a greedy strategy to obtain the levels of hubs, customer allocation and cargo routing. …”

The results of the cost sensitivity analysis. by Chao Yu (562804)

“…The service candidate itemsets are determined based on the correlated customer requirements. On this basis, the customer’s perceived utility is determined by applying the four types of utility measure functions. …”

Auto-tuning algorithm of the weight factors in the cost function. by Syed Umaid Ali (14486372)

“…<p>Auto-tuning algorithm of the weight factors in the cost function.…”

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

Subjects:

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

Subjects:

The probability density function for cost function g(X). by Matheus Sant’Ana Lima (9937809)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects:

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

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

Subjects:

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

Subjects:

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Subjects:

Performance comparison of recent and effective algorithms for minimizing error-based cost functions. by Davut Izci (15927452)

Subjects: