Function File: x = ga (fitnessfcn, nvars) ¶

Function File: x = ga (fitnessfcn, nvars, A, b) ¶

Function File: x = ga (fitnessfcn, nvars, A, b, Aeq, beq) ¶

Function File: x = ga (fitnessfcn, nvars, A, b, Aeq, beq, LB, UB) ¶

Function File: x = ga (fitnessfcn, nvars, A, b, Aeq, beq, LB, UB, nonlcon) ¶

Function File: x = ga (fitnessfcn, nvars, A, b, Aeq, beq, LB, UB, nonlcon, options) ¶

Function File: x = ga (problem) ¶

Function File: [x, fval] = ga (…) ¶

Function File: [x, fval, exitflag] = ga (…) ¶

Function File: [x, fval, exitflag, output] = ga (…) ¶

Function File: [x, fval, exitflag, output, population] = ga (…) ¶

Function File: [x, fval, exitflag, output, population, scores] = ga (…) ¶

Find minimum of function using genetic algorithm.

Inputs

fitnessfcn

The objective function to minimize. It accepts a vector x of size 1-by-nvars, and returns a scalar evaluated at x.

nvars

The dimension (number of design variables) of fitnessfcn.

options

The structure of the optimization parameters; can be created using the gaoptimset function. If not specified, ga minimizes with the default optimization parameters.

problem

A structure containing the following fields:

• fitnessfcn
• nvars
• Aineq
• Bineq
• Aeq
• Beq
• lb
• ub
• nonlcon
• randstate
• randnstate
• solver
• options

Outputs

x

The local unconstrained found minimum to the objective function, fitnessfcn.

fval

The value of the fitness function at x.

See also: gaoptimset.

Package: ga