ALG_TYPE= In this paramerter we indicate the algorithm type to use..

Value	Type
1	Steady State GA (ssGA)
2	Celular GA (cGA)
3	Simulated Annealing (SA)

NUM_MAX_EVAL= Here we define the maximum number of evaluations.

MIGRATION_FREQ = It indicates the frequency of the evaluations for the migration.

MIGRATION_TYPE= This is the migration type.The possible values are:

Value	Type
1	Best Individual
2	Worse Individual
3	Random Individual

PROB_CROSS= It is the probability of crossing. This value is between 0.0 and 1.0.

PROB_MUT= It is the probability of mutation. This value is between 0.0 and 1.0.

CROSS_TYPE= Here, we define the cross type.

MUTATION_TYPE= It is the mutation type.

Value	0	1	2	3	4
Type	None	Binary	Gottlieb-Voss	Flee Mutation	Marchiori-Rossi
Problem	SAT RND ONE	SAT RND ONE	SAT	SAT RND ONE	SAT

WINNER_INFLUENCE= It is the winner influence (W).

LOSER_INFLUENCE = This is the loser influence (L).

         The social influence only is used for Flee Mutation.

Social strategy	WIN_INFL	LOS_INFL
Entrepreneur	1	0
Follower	1	1
Anti-Hero	0	1
Anticonformist	-1	1
Rebel	-1	0
Pioner	-1	-1
Phobic	0	-1
Sheep	1	-1
Ignorant	0	0

POP_V_SIZE= It indicates the vertical size (number of rows of the population).

POP_H_SIZE= It indicates the horizontal size (number of cols of the population).

POPSIZE=Here, we put population size in each island. This value is equal to POP_V_SIZE multiplied by POP_H_SIZE.

REPLACEMENT_TYPE= This is the replacement type.

Value	Type
1	Worse Individual
2	Worse Parent
3	First Parent
4	Second Parent
5	Random Individual

SELECTION_TYPE= This is the selection type.

Value	Type
1	Roulette wheel
2	Linear Ranking
3	Random
4	Best Individual

 

NEIGHB_TYPE= In this parameter we define the neighbourhood type. It only is used for cellular Genetic Algorithm (cGA).

Value	1	2	3
Type	Lineal 5	Lineal 9	Compact 9
Example