An Approach to Ship Deck Arrangement Optimization Problem Using an Improved Multiobjective Hybrid Genetic Algorithm

Table 2

The list of input data for the ship deck arrangement optimization.

Input data
The feasible domains of position variables
The feasible domains of the area of arranged objects
The feasible domains of the aspect ratio of arranged objects
Material flow frequency
Material flow cost
Separation relationship
The length of deck space	47	The length of deck space	12.2
Normalized coefficient	0.05	Coefficients	0.5
Separation threshold	2	Separation goal	7
Similar zone parameter	0.5	Replacement threshold	0.45
Overlapping threshold	2	Best deck utilization	0.55
Standard deviation	0.2	Standard deviation	0.25
Adaptive probability	0.85	Adaptive probability	0.5
Adaptive probability	0.25	Crossover probability	0.85
Population size	200	Maximum iterations	300