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Intelligent Traffic Management Using || AI & Metaheuristics || ~xRay Pixy

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Hybrid Artificial Intelligence and Metaheuristics for Smart City TRafci Management Problem Video Chapters: 00:00 Introduction 00:40 Smart Cities 01:14 Traditional Methods for Traffic Management 02:12 Hybrid Approach AI and Metaheuristics 02:47 STEPS for Hybrid  Traffic Management System 08:40 Advantages of Smart Traffic Management System 09:33 Conclusion
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Crow Search Algorithm (CSA) / Crow Search Optimization (CSO) Algorithm

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What is the Crow search algorithm?

Crow search algorithm (CSA) is a population-based algorithm. Crow search algorithm is similar to Particle Swarm Optimization (PSO) algorithm. Crow search algorithm mimics the crow's intellegent behavior. CSA is based on crow's intelligent behavior. 

Key Point About Crow's

Crows live in large families and care for younger ones. They eat insects, worms, nuts, fruits, food, birds, non-insects, etc. They can hide excess food in hiding places and retrieve it when needed. Age: 14-17 years.

Crow can memorize the hiding place positions.

They follow each other to steal their food.

Crows protect their hiding places from attackers.

Two main parameters used in the CSA algorithm:

Flights Length,

Awareness Probability. 

Crow Search Optimization Algorithm Main Concepts 

Crow store excess food in hiding places and retrieve it when needed. 

Crow cheat each other (i.e., they steal each other food).


Crow Search Algorithm Step-by-Step with Example ~xRay Pixy

Crow search algorithm Video Link : Crow search algorithm

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

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