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[PDF] Top 20 Parametric design and multi-objective optimisation of containerships

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Parametric design and multi-objective optimisation of containerships

Parametric design and multi-objective optimisation of containerships

... The energy efficiency design index, the ratio of the above to below deck 21 number of containers, the required freight rate, the ship’s zero-ballast container capacity and the total 22 s[r] ... See full document

35

Parametric design and multi-objective optimisation of containerships

Parametric design and multi-objective optimisation of containerships

... computer-aided design/computer-aided engineering sys- tems (CAD/CAE) extends the design space, while generating competitive designs in short lead ...the parametric design and ... See full document

8

Parametric design and multi-objective optimisation of containerships

Parametric design and multi-objective optimisation of containerships

... computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs in short lead ...the parametric design and optimisation ... See full document

8

Parametric design and multiobjective optimization of containerships

Parametric design and multiobjective optimization of containerships

... efficiency design index (EEDI) and ballast water treatment regulations by the International Maritime Organization, the fluctuation of fuel price levels, along with the continuous endeavor of the shipping industry ... See full document

14

Parametric design and holistic optimisation of post-panamax containerships

Parametric design and holistic optimisation of post-panamax containerships

... the design space, while generating competitive designs in short lead ...the parametric design and holistic optimisation of a post-panamax ...complete parametric model of a ... See full document

10

Integrating Rate Based Models into a Multi-Objective Process Design & Optimisation Framework using Surrogate Models

Integrating Rate Based Models into a Multi-Objective Process Design & Optimisation Framework using Surrogate Models

... für Design- und Optimierungsaufgaben einge- ...die Design- und Optimierungsmodelle zu ermöglichen, wurde ein globales Surrogatmodel (SUMO) entwickelt, welches erlaubt auf evolutionären Algorithmen basierte ... See full document

174

Comparing Design Of Experiments and Evolutionary Approaches To Multi-Objective Optimisation Of Sensornet Protocols

Comparing Design Of Experiments and Evolutionary Approaches To Multi-Objective Optimisation Of Sensornet Protocols

... Two experimental approaches are employed in this paper. The Design Of Experiments (DOE) approach, using Factorial Design, is used to sample the entire problem space in a systematic and even manner [6]. This ... See full document

8

Multi objective genetic algorithm optimisation approach for the geometrical design of an active noise control systems

Multi objective genetic algorithm optimisation approach for the geometrical design of an active noise control systems

... system design demonstrates the need for some degree of preference articulation in Pareto-based evolutionary optimisation, but the speed of execution then becomes an important ... See full document

14

Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation

Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation

... We show by means of rigorous runtime analysis that the use of diversity-based parent selection mechanisms can significantly improve the performance of MOEAs. The area of runtime analysis has contributed significantly to ... See full document

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Alternative Infill Strategies for Expensive Multi-Objective Optimisation

Alternative Infill Strategies for Expensive Multi-Objective Optimisation

... initial design for a specific run and a specific problem; except for the competing independent LHS designs with 250 ...solving multi-modal problems—to locate the solution that max- imises an infill ... See full document

8

Multi-objective optimisation in scientific workflow

Multi-objective optimisation in scientific workflow

... Engineering design is typically a complex process that involves finding a set of designs satisfying various performance ...result, optimisation algorithms dealing with only single-objective are not ... See full document

10

Bayesian single- and multi- objective optimisation with nonparametric priors

Bayesian single- and multi- objective optimisation with nonparametric priors

... Finally we consider three real-world multi objective Pareto frontier optimi- sation problems. The first problem, boston , involves training a 2 hidden layer neural network on a random train/test split of ... See full document

146

Multi-objective optimisation using the Bees Algorithm

Multi-objective optimisation using the Bees Algorithm

... combine objective function and constraint information into a scalar value that is used as the fitness function o f a ...regarding Multi- Objective Optimisation with Artificial Immune Systems ... See full document

313

Multi-objective optimisation methods applied to complex engineering systems

Multi-objective optimisation methods applied to complex engineering systems

... of optimisation by Fleming et ...ing design by Kipouros et ...highly multi-dimensional data to be plotted uniquely and without loss of information, and here the entire design space of each ... See full document

278

Multi-objective optimisation of reliable product-plant network configuration

Multi-objective optimisation of reliable product-plant network configuration

... Facility Location approaches are concerned with where should inventory be stored and distributed from, but does not take into account multiple products distributed across the supply network. Reliability research in ... See full document

19

An overview of population-based algorithms for multi-objective optimisation

An overview of population-based algorithms for multi-objective optimisation

... Assuming that the problem under consideration is being solved for practical purposes, that is; it is a real-world problem and a design choice is to be made. Even if multiple competing objectives are under ... See full document

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Multi-objective Optimisation of Marine Propellers

Multi-objective Optimisation of Marine Propellers

... the multi-objective formulation of the problem is maintained and the aim is to find all or some of the Pareto optimal ...the multi-objective formulation of the problem allows the exploration of ... See full document

10

Elite Accumulative Sampling Strategies for Noisy Multi-Objective Optimisation

Elite Accumulative Sampling Strategies for Noisy Multi-Objective Optimisation

... the optimisation problem experiences observational noise, there is also a trade-off with respect to accuracy refinement – as improving the estimate of a design’s performance typi- cally is at the cost of ... See full document

15

Multi-objective optimisation in the presence of uncertainty

Multi-objective optimisation in the presence of uncertainty

... in Design and Manufacture series (Parmee, ...the optimisation of classification error rates in pattern recognition tasks: precise error rates depend upon the particular data set used; different, but ... See full document

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Multi-objective optimisation using surrogate models for the design of VPSA systems

Multi-objective optimisation using surrogate models for the design of VPSA systems

... the design parameters with higher values of the correlation parameters, we need to also consider the high level visualisation presented in ...the design solutions is revealed in ... See full document

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