Genetic or evolutionary algorithms for filter design?

1. Is genetic algorithm the same as evolutionary algorithm?
2. What are evolutionary algorithms good for?
3. What are the methods of filter design?
4. What are the advantages of evolutionary algorithms over traditional optimization techniques?

Is genetic algorithm the same as evolutionary algorithm?

In a "genetic algorithm," the problem is encoded in a series of bit strings that are manipulated by the algorithm; in an "evolutionary algorithm," the decision variables and problem functions are used directly. Most commercial Solver products are based on evolutionary algorithms.

What are evolutionary algorithms good for?

Evolutionary algorithms in real-life problems. Similar to swarm intelligence algorithms [6], a major reason is a growing demand for smart optimization methods in many business and engineering activities. EAs are suitable mainly for optimization, scheduling, planning, design, and management problems.

What are the methods of filter design?

The filter design methods provided in the DFD toolkits include Kaiser window, Dolph-Chebyshev window, and equi-ripple for FIR filters; and Butterworth, Chebyshev, Inverse Chebyshev, and Elliptic for IIR filters. In addition, the DFD toolkit has some Special Filter Design VIs.

What are the advantages of evolutionary algorithms over traditional optimization techniques?

They have great advantages over traditional methods for solving multi-objective optimization problems, since they can be applied simultaneously with integer, discontinuous or discrete design variables; companions of different game strategies, they are not sensitive to different Pareto front shape and are able to find ...