What are some advanced techniques in evolutionary algorithms?
Advanced techniques in evolutionary algorithms include hybrid approaches, adaptive mutation rates, and multi-objective optimization.
Can you explain hybrid approaches in more detail?
Sure! Hybrid approaches combine evolutionary algorithms with other optimization techniques, like local search, to enhance performance.
What is multi-objective optimization?
Multi-objective optimization involves optimizing two or more conflicting objectives simultaneously, often using Pareto efficiency.
How do adaptive mutation rates work?
Adaptive mutation rates adjust the mutation probability based on the population's diversity, promoting exploration and convergence.
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