Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics

Table 6

The optimum factor for genetic algorithm and simulated annealing.

		Problem size	Factors	Level 1	Level 2	Level 3	Optimum factor
Genetic algorithm	Mean 𝑆/𝑁 ratio	Small	𝐴	−4.0524	−3.9078	−3.6780	𝐴(3)
			𝐵	−4.5873	−3.7776	−3.2731	𝐵(3)
			𝐶	−3.9725	−3.9144	−3.7512	𝐶(3)
			𝐷	−4.0079	−3.7381	−3.8921	𝐷(2)
		Large	𝐴	−5.5750	−5.4837	−5.4807	𝐴(3)
			𝐵	−6.0750	−5.4906	−4.9739	𝐵(3)
			𝐶	−5.6615	−5.4169	−5.4610	𝐶(2)
			𝐷	−5.5713	−5.3525	−5.6156	𝐷(2)
	Mean objective function	Small	𝐴	0.6301	0.6395	0.6558	𝐴(3)
			𝐵	0.5914	0.6479	0.6861	𝐵(3)
			𝐶	0.6360	0.6391	0.6502	𝐶(3)
			𝐷	0.6334	0.6514	0.6405	𝐷(2)
		Large	𝐴	0.5286	0.5339	0.5345	𝐴(2),𝐴(3)
			𝐵	0.4995	0.5323	0.5641	𝐵(3)
			𝐶	0.5235	0.5380	0.5345	𝐶(2)
			𝐷	0.5290	0.5412	0.5258	𝐷(2)
Simulated annealing	Mean 𝑆/𝑁 ratio	Small	𝐴	−4.1877	−4.0033	−3.7003	𝐴(3)
			𝐵	−4.1164	−3.9694	−3.8055	𝐵(3)
			𝐶	−4.1038	−3.7080	−4.0795	𝐶(2)
			𝐷	−4.4123	−4.0730	−3.4060	𝐷(3)
		Large	𝐴	−6.4144	−6.0149	−5.4369	𝐴(3)
			𝐵	−6.2095	−6.0824	−5.5743	𝐵(3)
			𝐶	−5.9112	−5.8779	−6.0771	𝐶(2)
			𝐷	−6.3202	−5.8310	−5.7150	𝐷(3)
	Mean objective function	Small	𝐴	0.6209	0.6327	0.6544	𝐴(3)
			𝐵	0.6262	0.6353	0.6464	𝐵(3)
			𝐶	0.6272	0.6537	0.6270	𝐶(2)
			𝐷	0.6048	0.6272	0.6760	𝐷(3)
		Large	𝐴	0.4817	0.5032	0.5351	𝐴(3)
			𝐵	0.4925	0.5006	0.5269	𝐵(3)
			𝐶	0.5100	0.5108	0.4993	𝐶(1),𝐶(2)
			𝐷	0.4880	0.5131	0.5189	𝐷(3)