Research on Microgrid Scheduling Based on Improved Crow Search Algorithm

Algorithm 1

Proposed crow search algorithm.

Input: Population size , maximum number of iterations , flight distance , the probability of consciousness .
(1)	Initialize the memory of each crow.
(2)	Evaluate fitness function.
(3)	whiledo
(4)	fori = 1; i < N; i + + do
(5)	Randomly selected crows.
(6)	Defining the probability of consciousness.
(7)	ifthen
(8)
(9)	else
(10)
(11)	end if.
(12)	end for.
(13)	Check the feasibility of the new location
(14)	Evaluate the new location of the crow and update the memory
(15)	end while.