Optimisation Objective Function and Design Parameters
Parametric design and multi-objective optimisation of containerships
... stowage ratio, which takes as input the number of containers stacked above and below the main deck, 357. calculated in a previous computation[r] ...
35
Parametric design and multi-objective optimisation of containerships
... In addition, the level 1 and 2 draft criteria for par- ametric roll failure mode according to regulations are applied (IMO, 2015). The level 1 criterion, based on the Mathieu equation, is meant to be simple and ...
8
Parametric design and multi-objective optimisation of containerships
... conceptual design and multi-objective optimisation of a midsized, 6,500 TEU ...the design constraints and the design efficiency indicators, which are used for the evaluation of ...
8
Multi-objective design optimisation of GFRP sandwich beams
... The peer reviewed papers contained in these proceedings were accepted for presentation at ACMSM22, held at the Aerial Function Centre, University of Technology, Sydney, Australia from 11–14 December 2012. The ...
26
Development of a grid service for multi-objective design optimisation
... filled questionnaire as the interactive session of interview started. SIS has developed software called Eclipse which is used for the simulation of seismic data during exploration. The system is run on cluster of high ...
295
DESIGN OPTIMISATION OF AN AIRCRAFT HANGAR WITH VARIOUS PARAMETERS
... B. Modelling Analysis is performed using STAAD PRO V8i. A total of 152 load combinations as per IS 875 consisting of dead, live, collateral, wind, earthquake and crane loads are considered. The structure is designed for ...
8
Design Complexity for Objective Function Points
... automated Function Point counter that reads actual source code to extract UML definition such as inheritances, associations and attributes to derive the ...the Objective Function Point counter that ...
7
A comparison of multi-objective optimisation metaheuristics on the 2D airfoil design
... The histories of particles within the search space, in terms of feasible and infeasible regions, are illustrated in Figure 5. The white squares indicate the infeasible solutions, whereas the black ones show the feasible ...
16
A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming
... penalty function with objective parameters and constraint penalty pa- ...penalty function with objective parameters and constraint penalty parameter for MP and the corresponding ...
10
Multi-objective optimisation using surrogate models for the design of VPSA systems
... multi-objective optimisation methods but this is computationally challenging due to the size of the search space and the need for high fidelity simulations due to the inherently dynamic nature of the ...
30
Multi-objective optimisation of water distribution systems design using metaheuristics
... It is recommended that all sub-algorithms used within the AMALGAM framework should be capable of solving the relevant optimisation problem in their own capacity, otherwise their internal administration will waste ...
370
Hybrid Optimisation Algorithms for Two-Objective Design of Water Distribution Systems
... challenging design cases in the water community for taking the operation of pumps and tanks into ...mathematical optimisation problem ...this design problem, the binary coverage indicator was ...
266
The design of high lift aircraft configurations through multi-objective optimisation
... DP372 design present a slightly increased Turbulence Kinetic Energy ...POD optimisation strategies are compared with the results obtained in Chapter ...the optimisation of the same GARTEUR ...
285
A Multi-Objective Extremal Optimisation Approach Applied to RFID Antenna Design
... antenna design problem, which is in- herently constructive in ...continuous optimisation problems and the RFID antenna design problem has been modelled as a combinatorial ...combinatorial ...
15
Identifying Good Algorithm Parameters in Evolutionary Multi- and Many-Objective Optimisation: A Visualisation Approach
... The method in its current form provides a useful way in which the value of different algorithm parametrisations can be observed. In its o ffline state, the method offers some utility, however its worth will be greatly ...
22
Comparing Design Of Experiments and Evolutionary Approaches To Multi-Objective Optimisation Of Sensornet Protocols
... Undertaking this work presented interesting challenges. Sensornet protocol tuning is not a simple, idealised problem. It is a real-world problem with multiple inputs, multiple out- puts, and multiple objectives. The ...
8
An investigation of higher-order multi-objective optimisation for 3D aerodynamic shape design
... complicated design spaces, but there is a trade-off be- tween speed and the quality of the trade-off surface ...explored design spaces reveal the extremes of the objective functions, but the ...
9
Multi-objective optimisation using sharing in swarm optimisation algorithms
... 3.4 Discussion of Results 105 between the pair of results being compared. For the second test function, a very similar situation as the one presented with the first test function can be observed. MOPSO ...
252
An investigation of multi-objective hyper-heuristics for multi-objective optimisation
... (choice function) in HHMO_CF_GDA, it can also give some insights about how many moves can be accepted or rejected based on GDA as an acceptance criteria with different UP ...
240
Multi-objective optimisation in scientific workflow
... new Optimisation Actor inherits from Nimrod/OK’s existing ...of optimisation algorithm needs to implement the AlgorithmDefinition interface, which defines its name, the number of supported objectives and ...
10