Multi-objective synthesis planning by means of Monte Carlo Tree search
We introduce a multi-objective search algorithm for retrosynthesis planning, based on a Monte Carlo Tree search formalism. The multi-objective search allows for combining diverse set of objectives without considering their scale or weighting factors. To benchmark this novel algorithm, we employ four...
Saved in:
| Main Authors: | Helen Lai, Christos Kannas, Alan Kai Hassen, Emma Granqvist, Annie M. Westerlund, Djork-Arné Clevert, Mike Preuss, Samuel Genheden |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Artificial Intelligence in the Life Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667318525000066 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of Restricted Container Relocation Using the Monte Carlo Tree Search Method
by: Chaabane Abdelali, et al.
Published: (2025-02-01) -
An improved Monte Carlo Tree Search approach to workflow scheduling
by: Hok-Leung Kung, et al.
Published: (2022-12-01) -
Exploring Monte Carlo Negotiation Search with Nontrivial Agreements
by: Elijah Alden Malaby, et al.
Published: (2021-04-01) -
Optimizing on-demand food delivery with BDI-based multi-agent systems and Monte Carlo tree search scheduling
by: Li Liu, et al.
Published: (2025-07-01) -
A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search
by: Yifei Liu, et al.
Published: (2025-05-01)