"Hi Ritika, I really enjoy your videos on optimization algorithms! If you have some time in the future, it would be fantastic if you could explore some of the algorithms I've developed, such as: 1. Child Drawing Development Optimization Algorithm Based on Child’s Cognitive Development (CDDO) 2. Fitness Dependent Optimizer: Inspired By The Bee Swarming Reproductive Process (FDO) 3. ANA: Ant Nesting Algorithm For Optimizing Real-World Problems 4. FOX: A FOX-Inspired Optimization Algorithm (ANA) 5. FOX: A FOX-Inspired Optimization Algorithm (FOX) 6. GOOSE Algorithm: A Powerful Optimization Tool For Real-World Engineering Challenges And Beyond (Goose) 7. Shrike Optimization Algorithm (SHOA) 8. Lagrange elementary optimization (Leo) I believe these could make for interesting content, and I'd love to hear your thoughts!"
Hi mdm, thanks for sharing. Here are a few questions, any guidance would be appreciated. 17:30 Doesn't the pheromone deposited at the best path evaporate? Why directly carry on the pheromone value of the previous iteration? 20:52 r3= 0.0776, Ant 3 should select the 2nd path (0.0714, 0.1429)
Hello, 1. The Best path has maximum pheromones as compare to other path so its evaporation rate is considered a bit slow in comparison with other paths. 2. For this check where it falls ( r3= 0.0776) and select that path accordingly.
Thank You :) Artificial Bee Colony Optimization Algorithm Step-by-Step with Numerical Example ~xRay Pixy ua-cam.com/video/SVXmJdLsN0M/v-deo.html&ab_channel=RitikaxRayPixy
Can you discuss how to use Firefly Algorithm for TSP
"Hi Ritika, I really enjoy your videos on optimization algorithms! If you have some time in the future, it would be fantastic if you could explore some of the algorithms I've developed, such as:
1. Child Drawing Development Optimization Algorithm Based on Child’s Cognitive Development (CDDO)
2. Fitness Dependent Optimizer: Inspired By The Bee Swarming Reproductive Process (FDO)
3. ANA: Ant Nesting Algorithm For Optimizing Real-World Problems
4. FOX: A FOX-Inspired Optimization Algorithm (ANA)
5. FOX: A FOX-Inspired Optimization Algorithm (FOX)
6. GOOSE Algorithm: A Powerful Optimization Tool For Real-World Engineering Challenges And Beyond (Goose)
7. Shrike Optimization Algorithm (SHOA)
8. Lagrange elementary optimization (Leo)
I believe these could make for interesting content, and I'd love to hear your thoughts!"
Sure i will :)
Thank you so much :)
thank you
You're welcome :)
Hi mdm, thanks for sharing. Here are a few questions, any guidance would be appreciated.
17:30 Doesn't the pheromone deposited at the best path evaporate? Why directly carry on the pheromone value of the previous iteration?
20:52 r3= 0.0776, Ant 3 should select the 2nd path (0.0714, 0.1429)
Hello,
1. The Best path has maximum pheromones as compare to other path so its evaporation rate is considered a bit slow in comparison with other paths.
2. For this check where it falls ( r3= 0.0776) and select that path accordingly.
@@RitikaxRayPixy
Got it, thanks mdm
Great work Ritika ❤❤
hi kindly post one video about ACO algorithm used in solid waste management
Madam Will you explain the optimization problem using machine learning techniques with an example
thank you, mam. excellent explanation. can you explain convergence
in detail mam? how to evaluate its importance in metaheuristics optimizations
Will upload soon😇
Keep it up good work
Can you make video for Bee Colony Optimization. You have explainned it very well and love the content!!
Thank You :)
Artificial Bee Colony Optimization Algorithm Step-by-Step with Numerical Example ~xRay Pixy
ua-cam.com/video/SVXmJdLsN0M/v-deo.html&ab_channel=RitikaxRayPixy
@@RitikaxRayPixy omgg thankss a lott
In 24:31 how does the denominator of the probability function become 10.4231?