What are the differences between various evolutionary algorithms?
Evolutionary algorithms include Genetic Algorithms, Differential Evolution, and Particle Swarm Optimization. Each has unique mechanisms.
Can you explain how Genetic Algorithms work?
Genetic Algorithms mimic natural selection, using processes like selection, crossover, and mutation to evolve solutions.
What about Differential Evolution? How is it different?
Differential Evolution focuses on the differences between solution vectors to create new candidate solutions, making it efficient for continuous optimization.
Which algorithm is best for optimization problems?
It depends on the problem specifics. Genetic Algorithms are versatile, while Differential Evolution excels in continuous spaces.
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