Probabilistic components are essential in nature-inspired algorithms because almost all metaheuristic algorithms use some forms of randomization and random initialization in terms of uniform distributions. This chapter introduces the fundamentals of probability distributions, Markov chains, Monte Carlo, and random walks. These concepts will form the foundations for algorithm analysis.
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