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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

Dwarf Mongoose Optimization Algorithm || Step-By-Step || ~xRay Pixy

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Video Chapters: Dwarf Mongoose Optimization Algorithm 00:00 Introduction 02:10 About Mongoose 03:55 Mongoose Communication 05:00 Mongoose Lifestyle 07:23 Dwarf Mongoose Optimization Algorithm Steps 11:29 Optimization Process Start 16:00 Conclusion New Metaheuristic Optimization Algorithm Dwarf Mongoose Optimization We can use this algorithm to solve different optimization problems as when this algorithm is tested on different continuous, discrete optimization problems it provides efficient results. So, we can use this algorithm to solve complex optimization problems This algorithm is basically inspired by the foraging behavior of mongooses in real life. Dwarf Mongoose Optimizer is introduced in 2022 by Jeffrey and all. It is a swarm intelligence-based optimization algorithm that we can use to solve complex optimization problems. This algorithm provides efficient results in comparison with seven different algorithms as you can see here Particle Swarm Optimizer, Gray wolf O

Optimization Problems || PART 02 || Design Variables, Constraints, Objec...

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Learn how to solve Optimization problems Step-By-Step. Video Chapters: Optimization Problems PART - 02 00:00 Introduction 00:16 Optimization Problems 01:51 Design Variables 02:34 Constraints 03:13 Objective Function 04:57 Conclusion

Fireworks Algorithm For Optimization || Step-By-Step || ~xRay Pixy

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Fireworks Algorithm For Optimization Video Link Learn Fireworks Algorithm For Optimization || Step-By-Step || Video Chapters: Firework Algorithm For Optimization 00:00 Introduction 00:55 About Fireworks 04:07 Fireworks Algorithm Steps 05:41 Set Off Fireworks 08:11 Calculate the Total Number of Spark 10:02 Sparks Location Calculation 14:00 conclusion Firework Algorithm For Optimization Key Points It is a Swarm intelligence Based Metaheuristic Algorithm. We can use Fireworks Algorithm to solve complex optimization problems in real life. The Fireworks Algorithm is basically inspired by the explosion process of Fireworks in real life. Fireworks Algorithm mimics this Fireworks explosion behavior to find out the optimal solution. The fireworks algorithm simulates a simple process. 1. Initialize the population for (N) fireworks. 2. Evaluate fireworks performance using an objective function. 3. Set Off N fireworks. 4. Calculate the number of sparks each firework yield and the
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