What are evolutionary algorithms and how did they develop?
Evolutionary algorithms are optimization algorithms inspired by natural selection. They evolved from early concepts in the 1960s.
Can you explain how they work in simple terms?
Sure! They mimic the process of natural evolution, using mechanisms like selection, mutation, and crossover to evolve solutions.
What are some real-world applications of evolutionary algorithms?
They are used in various fields, including engineering design, machine learning, and even game development for optimizing strategies.
Who were the pioneers in developing these algorithms?
Key figures include John Holland, who introduced genetic algorithms, and David E. Goldberg, who expanded on these concepts.
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