[PDF] Top 20 Optimisation in multi objective mobile user satisfaction
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Optimisation in multi objective mobile user satisfaction
... By using this set of solutions, the user will get the lowest access cost and the lowest access interval since all of the data is transmitted using WTI The maximum amount of battery life [r] ... See full document
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Optimisation of Iterative Multi-user Receivers using Analytical Tools
... expect high speed, reliable communication of information between any two points on the globe. For WOC, this means that the spectators sitting at home in Canberra can watch the action in the forests of Czech Republic at ... See full document
177
Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
... WOZ objective function has a turning point at ...to user scores, the RL policy produces a linear (slightly declining) line between 7 and 6 (Table 3, bottom right), indicating that the applied policy ... See full document
6
Multi-objective optimisation of integrated space-based and terrestrial solar energy systems
... The ground installation is made of four elements: a power generation unit, a power collection unit (collecting power from the SPS), a power storage unit and a power distribution unit. The concept proposed in this paper ... See full document
10
Computational steering of a multi objective evolutionary algorithm for engineering design
... solve multi-objective optimisation ...these multi-objective evolutionary algorithms are run ...complete, user interaction, if any, is limited to the occasional plotting of the ... See full document
12
Multi-objective optimisation of reliable product-plant network configuration
... a multi-objective net- work optimisation problem, which is not well handled in network literature (Newman ...dynamic mobile adhoc network routing ... See full document
19
Parametric design and multi-objective optimisation of containerships
... parametric optimisation process in the early stages of ship design, a much improved design can be produced, providing numer- ous benefits to a potential builder and end user (ship ...of optimisation ... See full document
8
The different perceptions of factors that influence user satisfaction among mobile communication subscribers: Study in Kuwait
... cumulative satisfaction while only one dimension of service quality (interaction quality) has a significant and positive effect on tr ansaction- specific satisfaction, besides procedural justice, the other ... See full document
7
A compromise based fuzzy goal programming approach with satisfaction function for multi objective portfolio optimisation
... a multi-objective portfolio selection model with three criteria: risk, return and liquidity for ...using satisfaction functions to measure the ... See full document
7
Parametric design and multi-objective optimisation of containerships
... design optimisation in the shipbuilding industry are ...parametric optimisation process in the early stages of ship design, a much improved design can be produced, providing numerous benefits to a potential ... See full document
8
Multi objective evolutionary algorithms and hyper heuristics for wind farm layout optimisation
... a Multi-objective Particle Swarm Optimisation (MOPSO) algorithm which combined a general purpose MOPSO [15] algorithm with problem-specific repair strategies to maximise the energy capture and ... See full document
25
Model-based controller design for a plastic film extrusion process
... be reduced further and persists being larger than 1, the appropriate bound should be relaxed. The most difficult part of this process is the provision of a trial parameter set P k+1 given P k . To solve this problem, ... See full document
7
Major Determinants that Influence the Choice of Brand of Mobile Phone
... There are many social and interpersonal factors that influence customers to decide about any product, which is so in the case of the mobile phone also. Consumer behaviour is affected by a lot of variables, ranging ... See full document
13
Multi objective evolutionary design of robust controllers on the grid
... of multi-objective problem leads to a set of Pareto optimal points, where any improvement in one objective will lead to a deterioration in one or more of the other objectives (see ...Conventional ... See full document
7
A multi-objective optimisation approach applied to offshore wind farm location selection
... For comparison purposes, the performance of all three selected optimisers is depicted in Fig. 2, where they were applied to a benchmark test function with three objectives. Ideally, the trade-off should be as much dense ... See full document
20
Multi objective optimisation of machine tool error mapping using automated planning
... solving multi-objective optimisation planning problems, a trade-off between both metrics is going to take ...the multi-objective plans are on average 2% worse for time and 8% worse for ... See full document
11
Multi-objective optimisation for tuning building heating and cooling loads forecasting models
... for optimisation of ML models for accurate prediction of both heating and cooling ...a multi-objective optimisation (MOO) to find the most appropriate hyper- parameters for Random-Forest (RF) ... See full document
10
Multi-objective optimisation using learning automata and its applications in power systems
... • Recently, a Group Search Optimiser (GSO) was developed at the University of Liverpool [56], which was inspired by animal searching behaviour and group living theory [57]. The strategies of information-sharing [58] and ... See full document
235
Multi objective optimisation in air conditioning systems : comfort/discomfort definition by IF sets
... The benefit of the IF optimisation problems is twofold: they give richest apparatus for formulation of optimisation problems and, on the other hand, the solution of IF optimisation probl[r] ... See full document
12
Multi-objective optimisation of constellation deployment using low-thrust propulsion
... The deployment sequence is a complex combination problem that is here addressed with a simple de- terministic greedy incremental algorithm that provides fast, though suboptimal, solutions. A separate com- biantorial ... See full document
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