Memetic algorithm

Related lectures (28)

Page 3 of 3

Introduces the two-phase simplex algorithm and explores duality in linear programming.

Covers the Shor Algorithm for period finding and its application in factorization, discussing the circuit implementation and measurement outcomes.

Covers the fundamentals of Markov chains and their applications in algorithms, focusing on proper coloring and the Metropolis algorithm.

Covers the properties and error estimates of the Monte Carlo method in stochastic simulation.

Covers state space models and the expressivity of transformers in sequence copying tasks.

Explores abductive reasoning, search algorithms, and heuristic search for problem-solving.

Covers the No Free Lunch Theorem and the role of inductive bias in deep learning and reinforcement learning.

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.