Multi-objective optimisation results
A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems
... The results reported in this paper are preliminary, but ...existing multi- objective evolutionary ...the objective of improving the diversity and convergence of the current ...the ...
8
An investigation of multi-objective hyper-heuristics for multi-objective optimisation
... smallest UP value can produce better solutions. The reasons behind this are the level boundary increased quickly with the large UP value which leads to reject many moves up to the level. The average heuristic utilisation ...
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
Multi-objective optimisation of product modularity
... the optimisation technique is not properly designed this can lead to a pareto dominated ...overall objective score, however the later is the more favourable as it contains no dominance of ...
10
Multi-objective optimisation in the presence of uncertainty
... Teich (2001) and Hughes (2001) have each addressed mul- tiobjective optimisation with uncertainty and here we ex- tend their work by relaxing the assumptions made about the noise characteristics. Hughes (2001) ...
8
Multi-objective Optimisation of Marine Propellers
... the results of the preceding subsection, in that the uncertainties in parameters also degrade the expected efficiency ...the results show that the cavitation can vary dramatically in case of uncertainties in ...
10
Multi-objective optimisation of multi-output neural trees
... so-called multi-output neural tree (MONT) that is trained by using non-dominated sorting algorithm frameworks (NSGA) ...general, results show that the MONT performed competitively over a larger set of ...
10
Multi-objective optimisation using sharing in swarm optimisation algorithms
... Swarm Optimisation 48 Srinivasan and Seow (2003) Srinivasan and Seow [111] created a hybrid algorithm combining concepts of PSO and an evolutionary algorithm called ...The results lying at the bottom of the ...
252
Parametric design and multi-objective optimisation of containerships
... The results of a multi-disciplinary optimization pro- cedure might not provide a straightforward solution to a ...each objective is acknowledged differently by as- signing specific “weights” ...
8
Parametric design and multi-objective optimisation of containerships
... the optimisation process as well, as new rules are introduced every ...The results indicate how the model should be designed to pass certain criteria to comply with international regulations, while it ...
8
Multi-Objective Optimisation of Aero-Engine Compressors
... two-objective optimisation (efficiency and surge mar- gin) was conducted both with a gradient-based method and a metaheuristic one (Tabu ...The results show the advantages of using a stochastic ...
11
Multi-Objective Optimisation of Stereo Vision Algorithms
... SUBMITTING RESULTS TO THE KITTI BENCHMARK varying size caused by the Soft timeout mechanic giving a penalty to slow ...single- objective search, which worked well enough in its regard with ...
149
Multi-Objective Particle Swarm Optimisation Methods
... promising results reported in the literature comparing PSO to EA techniques in the uni-objective domain, a transfer of PSO to the MO domain seems a natural ...
20
Multi-objective optimisation using the Bees Algorithm
... 4.4.1.2 Additional comparisons The number o f evaluations, program running times, Pareto solutions and Pareto fronts from all runs were compared with each other together with the settings in order to evaluate the ...
313
Multi-objective optimisation of web business processes
... the optimisation of web business processes using multi-objective evolutionary ...process optimisation is considered as the problem of constructing feasible business process designs with ...
5
Full Elite Sets for Multi-Objective Optimisation
... These results indicate that the E-SPEA frontal set lies substantially ‘in front’ of that found by SPEA, al- though the fact that V (S, E) > 0 indicates that there are regions were the SPEA front is ‘in ...
12
Multi-objective optimisation of low-thrust trajectories
... a multi-target optimal disposal sequence for space debris in Low Earth ...of Multi-Objective optimisation problems which are solved with a stochastic ...The results are then presented ...
264
Multi-objective optimisation of the cure of thick components
... the optimisation outcomes indi- cates two potential strategies for maximising the efficiency of the process whilst minimising risks: (i) adopting a first dwell duration that allows moving to the ramp and second ...
11
Multi-objective aerodynamic optimisation of a morphing wing
... an optimisation framework has been presented, which was able to solve either single objective or multi-objective problems involving a morphing leading ...dynamic optimisation is dealing ...
155
Global Sensitivity Analysis and Multi-Objective Optimisation
... Optimiser: Calibrate the model based on GSA results • Try to best calibrate parameters sensitive for effeciency rate with. available data[r] ...
20