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

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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 
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Optimization Engineering - Design Optimization

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 [ CAN Design Optimization using Teaching Learning Based Optimization Algorithm]


PROBLEM STATEMENT: Design a Can to Hold 800ml Liquid.

OBJECTIVE: Minimize the CAN Manufacturing Cost, Minimize Amount of Sheet Metal Required. 

CONSTRAINTS: For Diameter, It should be no greater than 16 cm and no less than 4.0 cm, For Height, It should be no more than 36 cm and no less than 16 cm.
                                                    4.0 <= Diameter <= 16; cm
                                                    16<= Height <= 36; cm

Constraints to HOLD 800ml Liquid Capacity.
OBJECTIVE FUNCTION: COST Function Used to Solve this problem:
RESULT: AFTER OPTIMIZATION USING TEACHING LEARNING BASED OPTIMIZATION ALGORITHM

Optimal Diameter 4.3679
Optimal Height 34.0069
Best Cost = 207.24

Teaching Learning Based Optimization Algorithm

 | TLBO Numerical Example |

Learn Teaching Learning Based Optimization Algorithm Step-by-Step with Numerical Example.

Teaching Learning Based Optimization Algorithm is based on the effect of Teacher on the Learners in the class. Teaching Learning Based Optimization Algorithm is basically inspired by the behavior of learners in the classroom. In Teaching Learning Based Optimization Algorithm 2 main procedure are followed:

  1. Teaching Phase: Learners study from the Teacher.
  2. Learner Phase: Learners can interact with each other and they can randomly interact with each other.

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

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