Optimization of Heterogeneous Container Loading Problem with Adaptive Genetic Algorithm

Table 2

Adaptive genetic algorithm.

Step	AGA (adaptive genetic algorithm)
(1)	Input:
(2)	Generate a group of initial population encoding
(3)	for to do
(4)	decode with heuristic rules
(5)	calculate the fitness value of
(6)	search the individual with the highest fitness value, whose fitness is
(7)	do the selection operator to , the result is
(8)	do partial mapped crossover operator to the former part coding of
(9)	do two point crossover operator to the latter part coding of
(10)	store the result as
(11)	do sequence reversed mutation operator to the former part of
(12)	do basic bit mutation operator to the latter part of
(13)	store the mutation result as
(14)	decode with heuristic rules
(15)	calculate the fitness value of
(16)	search the individual with the highest fitness
	value in , whose fitness is
(17)	search the individual with the lowest fitness
	value in , whose fitness value is
(18)	if then
(19)	replace in with in
(20)	end if
(21)
(22)	end for
(23)	search the individual with highest fitness value in the generation, whose fitness is
(24)	Output: ,