Study on reduction of wave-making resistance in multiple load conditions using real-coded genetic algorithm

Akihito Hirayama; Jun Ando

Study on reduction of wave-making resistance in multiple load conditions using real-coded genetic algorithm

Akihito Hirayama, Jun Ando

Ship and Marine Dynamics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Practical ships have different operating speeds, draft and trim in multiple load conditions. Therefore, in the hull form improvement, it is necessary to develop a different hull form in substance for every condition, from a viewpoint of hydrodynamics. The present paper proposes a hull form optimization method for reducing wavemaking resistance using the real-coded genetic algorithms in multiple load conditions. The real-coded genetic algorithm (GA) of the optimization method, employs the UNDX (Unimodal Normal Distribution Crossover) as a crossover operator, and employs the POSS (Pareto Optimal Selection Strategy) as a generation-alternation model. The hull form optimization for Series60 (CB=0.6) is carried out using the program that is based on the present method. In the optimization, many Pareto solutions are obtained. These hull forms have lower wave-making resistance with the panel-shift type Rankine source method on both the full load condition and the ballast condition, in comparison with the original hull form.

Original language	English
Title of host publication	10th International Symposium on Practical Design of Ships and other Floating Structures, PRADS 2007
Pages	1050-1056
Number of pages	7
Volume	2
Publication status	Published - Dec 1 2007
Event	10th International Symposium on Practical Design of Ships and other Floating Structures, PRADS 2007 - Houston, TX, United States Duration: Sep 30 2007 → Oct 5 2007

Other

Other	10th International Symposium on Practical Design of Ships and other Floating Structures, PRADS 2007
Country	United States
City	Houston, TX
Period	9/30/07 → 10/5/07

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Ocean Engineering

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Hirayama, A & Ando, J 2007, Study on reduction of wave-making resistance in multiple load conditions using real-coded genetic algorithm. in 10th International Symposium on Practical Design of Ships and other Floating Structures, PRADS 2007. vol. 2, pp. 1050-1056, 10th International Symposium on Practical Design of Ships and other Floating Structures, PRADS 2007, Houston, TX, United States, 9/30/07.

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title = "Study on reduction of wave-making resistance in multiple load conditions using real-coded genetic algorithm",

abstract = "Practical ships have different operating speeds, draft and trim in multiple load conditions. Therefore, in the hull form improvement, it is necessary to develop a different hull form in substance for every condition, from a viewpoint of hydrodynamics. The present paper proposes a hull form optimization method for reducing wavemaking resistance using the real-coded genetic algorithms in multiple load conditions. The real-coded genetic algorithm (GA) of the optimization method, employs the UNDX (Unimodal Normal Distribution Crossover) as a crossover operator, and employs the POSS (Pareto Optimal Selection Strategy) as a generation-alternation model. The hull form optimization for Series60 (CB=0.6) is carried out using the program that is based on the present method. In the optimization, many Pareto solutions are obtained. These hull forms have lower wave-making resistance with the panel-shift type Rankine source method on both the full load condition and the ballast condition, in comparison with the original hull form.",

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N2 - Practical ships have different operating speeds, draft and trim in multiple load conditions. Therefore, in the hull form improvement, it is necessary to develop a different hull form in substance for every condition, from a viewpoint of hydrodynamics. The present paper proposes a hull form optimization method for reducing wavemaking resistance using the real-coded genetic algorithms in multiple load conditions. The real-coded genetic algorithm (GA) of the optimization method, employs the UNDX (Unimodal Normal Distribution Crossover) as a crossover operator, and employs the POSS (Pareto Optimal Selection Strategy) as a generation-alternation model. The hull form optimization for Series60 (CB=0.6) is carried out using the program that is based on the present method. In the optimization, many Pareto solutions are obtained. These hull forms have lower wave-making resistance with the panel-shift type Rankine source method on both the full load condition and the ballast condition, in comparison with the original hull form.

AB - Practical ships have different operating speeds, draft and trim in multiple load conditions. Therefore, in the hull form improvement, it is necessary to develop a different hull form in substance for every condition, from a viewpoint of hydrodynamics. The present paper proposes a hull form optimization method for reducing wavemaking resistance using the real-coded genetic algorithms in multiple load conditions. The real-coded genetic algorithm (GA) of the optimization method, employs the UNDX (Unimodal Normal Distribution Crossover) as a crossover operator, and employs the POSS (Pareto Optimal Selection Strategy) as a generation-alternation model. The hull form optimization for Series60 (CB=0.6) is carried out using the program that is based on the present method. In the optimization, many Pareto solutions are obtained. These hull forms have lower wave-making resistance with the panel-shift type Rankine source method on both the full load condition and the ballast condition, in comparison with the original hull form.

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