Lecture 5.3 | Genetic Algorithm and its Applications | Genetic Algorithm | Key Components
Welcome to Tech Master Edu! 🧬 In this video, we embark on a journey into the fascinating world of Genetic Algorithms, dissecting their key components and unveiling their real-world applications.
🔍 Understanding Genetic Algorithms:
Dive deep into the heart of Genetic Algorithms as we demystify their core components. From chromosomes and populations to crossovers and mutations, we break down these elements to give you a solid grasp of how GAs operate.
🧬 Key Components Explored:
Chromosomes: Discover the genetic code that defines potential solutions.
Population: Uncover the diverse pool of potential solutions that evolve over generations.
Crossover: Explore how genetic information is exchanged between individuals to create new solutions.
Mutation: Witness the role of random mutations in introducing diversity and innovation.
🌐 Real-World Impact: Applications of Genetic Algorithms:
See Genetic Algorithms in action! From optimization problems in logistics and finance to evolving neural network architectures and solving complex engineering challenges, witness how GAs are transforming industries.
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#genetics #geneticalgorithm #machinelearning #mlt #aktu #aktuexam
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