ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING
This research investigates the enhancement of Artificial Immune Systems (AIS) for solving the Traveling Salesman Problem (TSP) through hybridization with Neighborhood Improvement (NI) and parameter fine-tuning. Two main experiments were conducted: Experiment A identified the optimal integration poin...
Saved in:
Main Authors: | Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Association for Knowledge Promotion
2024-12-01
|
Series: | Applied Computer Science |
Subjects: | |
Online Access: | https://ph.pollub.pl/index.php/acs/article/view/6552 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved artificial bee colony algorithm for large scale colored bottleneck traveling salesman problem
by: Wenyong DONG, et al.
Published: (2018-12-01) -
Fast agglomerative clustering using approximate traveling salesman solutions
by: Sami Sieranoja, et al.
Published: (2025-01-01) -
Modified shuffled frog-leaping algorithm to solve traveling salesman problem
by: LUO Xue-hui, et al.
Published: (2009-01-01) -
Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
by: Awaz Ahmad Shaban, et al.
Published: (2023-07-01) -
Klasifikasi Citra Generasi Artificial Intellegence menggunakan Metodde Fine Tuning pada Residual Network
by: Sulthan Abiyyu Hakim, et al.
Published: (2024-07-01)