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

Abstract

Ship deck arrangement design is about determining the positions and dimensions of arranged objects. This paper presents the mathematical model for the ship deck arrangement optimization problem statement and how the individual’s objective and constraint functions are computed. Moreover, an improved multiobjective hybrid genetic algorithm is redesigned to solve this complex nondeterministic problem and generate a set of diverse and rational deck arrangements in the early stage of ship design. An adaptive crossover operator and a novel topological replace operator invoked in this algorithm are described. Finally, the proposed algorithm is tested on a main deck arrangement optimization of an underwater detection ship. In the validation tests, the proposed algorithm is compared to the standard NSGA-II to determine its ability to produce a set of diverse and rational deck arrangements. Subsequently, the performance tests are used to determine the ability of the algorithm to work with the highly constrained arrangement problems and the efficiency of the adaptive crossover and topological replace operators.

Sustainable Perforated Acoustic Wooden Panels Designed Using Third-Degree-of-Freedom Bezier Curves with Broadband Sound Absorption Coefficients

“…To achieve this goal, it was decided to reflect the basic overlay shapes such as edges, keep them as trackers, and place as many holes as possible for the given minimum distances and panel shape. The boundary assumptions, such as panel edges, minimum distances between the holes, and hole diameters, were used in the simplified version of the ship deck arrangement algorithm, which was found to be suitable for this use [ 38 ]. The optimization parameters considered the minimum distance from the overlay edges to be 5 mm and the minimum distance between the hole edges to be 3 mm, which was assumed to be safe for panel consistency.…”