Speeding up the Convergence of Optimization Problems: Part I

The use of genetic algorithms to solve optimization problems has a number of advantages. These include that they have the ability to solve essentially any problem, such as those which are non-linear, or those with multiple local optima but a single global optimum. Palisade’s Evolver can be used to deal with such situations in static […]