A global optimization model for ship design

Ray, Tapabrata; Gokarn, R. P.; Sha, Om Prakash

doi:10.1016/0166-3615(95)00003-m

Cited by 35 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can also be determined based on a short ''burn in" period as suggested in [33]. In the proposed algorithm, T max has been set using the method proposed by Ray et al [28]. In the method proposed by them, initial temperature is set by allowing large perturbation with a high probability P T i .…”

Section: Discussion On Parametersmentioning

confidence: 99%

C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization

Singh

Ray

Smith

2010

Information Sciences

View full text Add to dashboard Cite

Section: Discussion On Parametersmentioning

confidence: 99%

C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization

Singh

Ray

Smith

2010

Information Sciences

View full text Add to dashboard Cite

“…(Chapman and Pinfold 1999;Chapman and Pinfold 2001). Many researchers have also attempted to solve the ship design problem using different optimisation techniques (Ray et al 1995;Peri and Campana 2003;Campana et al 2006;Shin et al 2006;Richir et al 2007;Turkmen and Turan 2007;Li 2009;Caprace et al 2010;Gou and Cui 2010;Hinnenthal and Clauss 2010;Gammon 2011). Park and Dang (2010) proposed a framework that integrates commercial CAD and CAE software (Park and Dang 2010).…”

Section: Introductionmentioning

confidence: 99%

Application of knowledge-based engineering for ship optimisation design

Yang

Chen

et al. 2012

Ships and Offshore Structures

View full text Add to dashboard Cite

This paper presents a knowledge-based engineering (KBE) application for ship structural optimisation design. Ship structural design variables are discrete, involving a variety of design requirements and constraints; this leads to highly non-linear, multimodal, and convergence problems in structural optimisation. Ship optimisation development has ignored the application of design specifications, expert experience and other knowledge accumulated in the design process. The best solution is to combine an advanced optimisation technique with KBE, which can capture rich information to apply in optimisation loops. During the optimisation process, there are three steps for applying the KBE technique. The first step is to select the design variable values and set the design optimisation according to the knowledge base. The second step is to select the proper design process to support the optimisation design. The final step is to check the best optimisation solutions according to the KBE techniques. This approach was applied to the example of a watertight transverse bulkhead. The optimisation design of the bulkhead shows that the optimised weight of the structure is lower than that for the design without KBE, while meeting the required constraints. The design process with KBE therefore ensures reasonable performance of this structure while achieving the minimum weight objective. In addition, it combines a structural parameterised model with mathematical optimisation, which provides a shortcut for designers with less experience in structural design. In conclusion, this proposed methodology combines knowledge from different sources and applies it to the structural optimisation design of ships, which can improve the design level and reduce designer dependence on experience.

show abstract

“…Inspired and modelled closely after biological evolution, it uses mechanisms of selection, recombination and mutation to traverse the search space for fitter solutions. Unlike conventional optimisation algorithms, EA does not make any assumption of the underlying fitness landscape and scales well to higher dimensional problems, making them suitable for NP-complete problems [19]. In hull form design optimisation, commonly used EAs including Genetic Algorithm (GA) [11] and Particle swarm optimization (PSO) [11] have been applied to improve the hydrodynamic performance of ships [20][21][22][23].…”

Section: B Optimisationmentioning

confidence: 99%

“…In [18] and [19], heuristic methods such as fish shoal algorithm (FSA) and Simulated Annealing were applied to optimise the hull of catamaran for reduced resistance and global optimisation model for ship design respectively. Simulated annealing is a stochastic optimisation method which is capable of controlling the deterioration of object function so as to escape local minima [19].…”

Section: B Optimisationmentioning

confidence: 99%

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

Ang¹,

Goh

2015

2015 21st International Conference on Automation and Computing (ICAC)

View full text Add to dashboard Cite

Abstract-New environmental regulations and volatile fuel prices have resulted in an ever-increasing need for reduction in carbon emission and fuel consumption. Designs of marine and offshore vessels are more demanding with complex operating requirements and oil and gas exploration venturing into deeper waters and hasher environments. Combinations of these factors have led to the need to optimise the design of the hull for the marine and offshore industry. The contribution of this paper is threefold. Firstly, the paper provides a comprehensive review of the state-ofthe-art techniques in hull form design. Specifically, it analyses geometry modelling, shape transformation, optimisation and performance evaluation. Strengths and weaknesses of existing solutions are also discussed. Secondly, key challenges of hull form optimisation specific to the design of marine and offshore vessels are identified and analysed. Thirdly, future trends in performing hull form design optimisation are investigated and possible solutions proposed. A case study on the design optimisation of bulbous bow for passenger ferry vessel to reduce wavemaking resistance is presented using NAPA software. Lastly, main issues and challenges are discussed to stimulate further ideas on future developments in this area, including the use of parallel computing and machine intelligence. Keywords-Simulation-based hull form design optimisation; geometry modeling; shape transformation; performance evaluation; computational fluid dynamic (CFD)

show abstract

A global optimization model for ship design

Cited by 35 publications

References 5 publications

C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization

C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization

Application of knowledge-based engineering for ship optimisation design

Key challenges and opportunities in hull form design optimisation for marine and offshore applications

Contact Info

Product

Resources

About