python scipy.optimize.minimize “SLSQP求解器”在xo之间添加约束

Question

I would like to optimize function with SLSQP solver. The function contains 5 parameters, and I would like to add a constraint that x[0] > x[3] . The following code makes x[0]=x[3] . Can you help me to modify it to " x[0] > x[3] "

cons = {'type':'eq', 'fun': lambda x: x[0] - x[3]} 

res = minimize(model_calib, xo, bounds=[(100,8000),(0,650),(0,1),(5,550),(0,3)], method='SLSQP',constraints = cons)

Best regards,

Answer 1

As you mentioned in comment by @Cory Kramer

cons = {'type':'ineq', 'fun': lambda x: x[0] - x[3]}