Global Optimization: Evolutionary Algorithms Vs. Random Search
Finding the global maximum, the largest value an objective function can attain, is a fundamental problem in optimization. Gradient-based algorithms, such as Gradient Descent and Newton’s Method, are popular choices for finding local maxima, but these methods can only guarantee finding a local maximum, not necessarily a global one. Evolutionary algorithms, such as Genetic Algorithms … Read more