Artificial Intelligence - Evolutionary Algorithms part 2
Автор: Farzin Academy
Загружено: 2025-09-28
Просмотров: 13
Artificial Intelligence Course in Farzin Academy:
• Artificial Intelligence - Introduction
In this advanced Farzin Academy video, we explore Survivor Selection strategies in Evolutionary Algorithms, which determine how the next generation of individuals is formed after crossover and mutation. 🧬
We dive into elitist (truncation), fitness-proportionate, rank-based, and Q-tournament selection strategies — analyzing how each affects convergence, diversity, and performance. You'll see how these strategies balance exploration and exploitation and how parameter tuning (like Q in tournament selection) shapes the evolutionary outcome.
🧠 Topics Covered:
What is survivor selection in EAs?
Elitist vs non-elitist selection
Convergence vs divergence
Fitness-proportionate vs rank-based
Tournament selection & Q parameter
Worked example with crossover, mutation, fitness calculation
🎯 Ideal for AI researchers, CS students, and anyone working with genetic algorithms or heuristic optimization.
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