New Post

Avascular Necrosis (AVN) || Early Detection, Better Outcomes || ~xRay Pixy

Image
Avascular Necrosis (AVN) is a condition where blood flow to the bone is reduced, causing bone cells to die. This leads to pain, joint damage, and difficulty in movement, especially in the hip. Early diagnosis and proper treatment can prevent permanent bone damage and improve quality of life. Video Chapter: AVN 00:00 Introduction 00:45 What is AVN? 01:55 About Bone Tissue 02:49 AVN Causes 03:38 AVN Symptoms 04:11 AVN Diagnosis 04:56 AVN of femoral head 05:33 How AVN Develops 07:28 Conclusions #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python #optimizationproblem #optimizationalgorithms 

Bacterial Foraging Optimization Algorithm (BFOA) Step-by-Step Learning ~...

Bacterial Foraging Optimization Algorithm (BFOA) 


Bacterial Foraging Optimization Algorithm is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of Escherichia coli or E. coli bacteria.

Bacterial Foraging Optimization Algorithm Advantages:
1.) Used to solve Engineering Problems.
2.) Used to Solve complex real world Optimization Problems.

About Escherichia coli or E. coli bacteria.
Escherichia coli or E. coli bacteria lives in our intestine and they are also found in the gut of some animals. Most of the Escherichia coli or E. coli bacteria are harmless. But some can cause Diarrhoea, if you eat contaminated food or drink fouled water. Escherichia coli or E. coli bacteria is mainly associated with Food positioning, Urinary Tract Infection (UTI) - approximate 75%-95% UTI are caused by Escherichia coli or E. coli bacteria. Escherichia coli or E. coli bacteria causes certain symptom's: Vomiting's, Confusion, Diarrhoea, Abdominal Cramps, Kidney Failure in kids as well as in Adult and Fever.

Bacterial Foraging Optimization Algorithm: KEY IDEA
Bacterial Foraging Optimization Algorithm is basically inspired by group foraging strategy of E. Coli Bacteria. Bacteria search for nutrients in order to maximize their energy and they can also communicate with each other by sending signals. Bacterial Foraging Optimization Algorithm mimic the Chemotactic movement of virtual bacteria's in the search space.

Bacterial Foraging Optimization Algorithm 4 main steps:
1.) Chemotaxis
2.) Swarming
3.) Reproduction
4.) Elimination and Dispersal

Video Timestamps:
Introduction: 00:00 Escherichia coli Bacteria: 00:38 BFOA Key Idea: 01:19 Bacterial Foraging Optimization Algorithm Pseudocode: 08:05 Conclusion: 10:30





Comments

Popular Post

PARTICLE SWARM OPTIMIZATION ALGORITHM NUMERICAL EXAMPLE

Cuckoo Search Algorithm for Optimization Problems

PSO (Particle Swarm Optimization) Example Step-by-Step

Particle Swarm Optimization (PSO)

PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example

Whale Optimization Algorithm Code Implementation || WOA CODE || ~xRay Pixy

Grey Wolf Optimization Algorithm

Grey Wolf Optimization Algorithm Numerical Example

GWO Python Code || Grey Wolf Optimizer in Python || ~xRay Pixy