Genetic Algorithms vs. Monte Carlo

maverick_starstrider

Hi, other than the Traveling Salesman Problems can anyone help me think of relatively simple problems/projects that are solvable through BOTH genetic algorithm techniques AND monte-carlo methods (such as simulated annealing and metropolis-hastings). Any help is greatly appreciated.

berkeman

Quote by maverick_starstrider

Hi, other than the Traveling Salesman Problems can anyone help me think of relatively simple problems/projects that are solvable through BOTH genetic algorithm techniques AND monte-carlo methods (such as simulated annealing and metropolis-hastings). Any help is greatly appreciated.

You certainly can use both on circuit optimization problems.

D H

Find the global minimum of Rosenbrock's function,

[tex]f(x,y) = (1-x)^2 + 100\left(y-x^2\right)^2[/tex]

jbunten

Can either method find a global minimum?

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maverick_starstrider	Genetic Algorithms vs. Monte Carlo Tweet Hi, other than the Traveling Salesman Problems can anyone help me think of relatively simple problems/projects that are solvable through BOTH genetic algorithm techniques AND monte-carlo methods (such as simulated annealing and metropolis-hastings). Any help is greatly appreciated.

D H Mentor	Find the global minimum of Rosenbrock's function, [tex]f(x,y) = (1-x)^2 + 100\left(y-x^2\right)^2[/tex]

jbunten	Genetic Algorithms vs. Monte Carlo Can either method find a global minimum?