Comparing stochastic optimization methods used in electrical engineering

This paper gives an overview of some stochastic optimization strategies, namely genetic algorithms, simulated annealing and tabu search, applied as a technique of system design for electrical engineering problems. A comparison among them is performed and results are discussed on a constrained optimization problem.