CEPSO: Constrained minimisation with CEPSO
In weiyaw/blackbox: A SMC-SA Algorithm for Constrained Optimisation

Minimise an objective, subject to the constraint specified by an indicator function.

1 2	CEPSO(starting, objf, pilot, indicator, neighbour = N/5, iter = 2000, N = 100, verbose = FALSE)

`starting`	a matrix of starting values with each column corresponds to a particle. (num mat)
`objf`	the objective function that takes a matrix with each column corresponds to a particle, and return a vector with respective objective function values. (num mat -> num mat)
`pilot`	a pilot estimate vector. (num vec)
`indicator`	an indicator function that takes a particle matrix and return a boolean vector, each columnm of which corresponds to a column of the input matrix. (num mat -> bool vec)
`neighbour`	the number of neighbour (num)
`iter`	iteration number. (num)
`N`	number of total particles. (num)
`verbose`	show the algorithm progression? (bool)