Characterizing the performance of adaptive swarm-based simulated annealing algorithm
Swarm-based simulated annealing (SBSA) is a hybrid algorithm based from simulated annealing with the incorporation of swarm intelligence to resolve the problem of slow convergence in obtaining the optimal solutions. This study focuses on the characterization of algorithm by adjusting the parameters...
Saved in:
Main Authors: | Ligon, Paolo Gabriel C., Luna, Eduardo B., III, Siccion, Ray Anthony A. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2009
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/9125 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Combination of Adaptive Fuzzy Inference System and Simulated Annealing Algorithm-based for Malaria Susceptibility Mapping in Daknong Province
by: Bui, Quang Thanh
Published: (2019) -
Swarming algorithm for unmanned aerial vehicle (UAV) quadrotors - Swarm behavior for aggregation, foraging, formation, and tracking
by: Bandala, Argel A., et al.
Published: (2014) -
Optimisation of multi-pass milling using genetic algorithm and genetic simulated annealing
by: Wang, Z.G., et al.
Published: (2014) -
A comparative study of swarm foraging behaviors; Trophallaxis, task allocation and pheromone
by: Vicerra, Ryan Rhay P., et al.
Published: (2021) -
Slime mold inspired swarm robot system for underwater wireless data communication
by: Vicerra, Ryan Rhay P., et al.
Published: (2016)