global optimisation
A New Approach in Deterministic Global Optimisation of Problems with Ordinary Differential Equations
... the global optimum, no theoretical guarantee can be given in a finite number of ...the global solution in finite time. Global optimisation of dynamic problem based on the simultaneous ...
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A search algorithm for global optimisation
... for global search optimisation ...best-known global optimisation algo- rithms are the genetic algorithm (GA) [1]-[3] and adaptive simulated annealing (ASA) ...guiding optimisation ...
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Global optimisation based control algorithms applied to boundary layer transition problems
... The results of the comparison are given in Tables 7–9, respectively. It can be seen from Table 9 that CRS method produces the best solution, as expected. How- ever, it requires the longest computational time and hence ...
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Algorithms Applied to Global Optimisation – Visual Evaluation
... and optimisation algorithms is subject of large research ...is global optimisation and presented approach is based on observation and visual evaluation of Real-Coded Genetic Algorithm, Particle Swarm ...
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Global optimisation of multiple gravity assist trajectories
... to global optimisation, combining a deterministic branching technique and a particular implementation of evolution programming ...the global optimum in a predictable amount of ...a global ...
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Global optimisation in process design
... Using interval analYsis and automatic differentiation as the arithmetic types, lower bounding linear programs are constructed and used in a branch and bound framework t[r] ...
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Bats echolocation-inspired algorithms for global optimisation problems
... swarm optimisation with diferential evolution (PSO-DE) (Liu et ...swarm optimisation (NM-PSO) (Zahara and Kao, 2009), ar- tificial bee colony 2 (ABC2) (Karaboga and Basturk, 2007a) and mine blast algorithm ...
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Simple, efficient and robust techniques for automatic multi objective function parameterisation: case studies of local and global optimisation using APSIM
... in optimisation runs that include multiple model ...simultaneous optimisation of 115 APSIM parameters, so the number of optimised parameters was reduced from 115 in GML optimisation runs (treatments ...
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Novel second-order techniques and global optimisation methods for supervised training of multi-layer perceptrons
... Before considering the usefulness (or otherwise) of these papers in terms of the issues addressed by this research, it is worth stressing that sensitivity to initial conditions is well- recognised in optimisation ...
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Applying a global optimisation algorithm to Fund of Hedge Funds portfolio optimisation
... constrained optimisation problems by combining global search (by partitioning the search space into smaller boxes) and local search (by partitioning sub-boxes based on desired functional ...between ...
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Global Optimisation for Energy System
... The idea of constructing linear cuts to approximate feasible regions first appears in the cutting plane method introduced by Gomory for solving integer programs [80]. In the con- text of continuous convex programming, ...
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Global trajectory optimisation: can we prune the solution space when considering deep space manoeuvres?
... tion. Although bounds on the decision variables are easy to manage, more general inequality constraints are more difficult to handle in global optimisation. A plausible method is to prune the search space ...
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A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems
... extremal optimisation (HMEO) proposal is presented herein which finds solutions through the collaborative use of EO with a local search framework, both suitable (in principle) to solve a wide range of multi- ...
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A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems
... the global version and the local version. In the global PSO version, all particles learn from the best particle in the population while in the local version each particle learns from the best particle in ...
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HEURISTICS OPTIMISATION OF NUMERICAL FUNCTIONS
... Abstract: The article presents an investigation of heuristic behaviour of search algorithms applied to numerical problems. The aim is to compare the abilities of Particle Swarm Optimisation, Differential Evolution ...
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Optimisation of the spoked bicycle wheel
... Spoke Angle Z Wheel Strength Z, for a Z, for a 27-inch 27-inch wheel wheel Symmetrical with 36 with 40 Driving Side Spoking spokes spokes torque Load Pattern and a and a stiffness stiffn[r] ...
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Optimisation of system dynamics models
... The term ‘optimisation’ when related to system dynamics (SD) models has a special significance. It relates to the mechanism used to improve the model vis-à-vis a criterion. This collapses into two fundamentally ...
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Simulation and optimisation in ion chromatography
... This study firstly evaluated the maximum tolerances on errors associated with predicted retention time and peak width needed for an accurate in-silico optimisation. A series of 15 chromatograms containing ...
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Optimisation of the squeeze forming process
... Temperature distribution in the casting at t=50s for the optimum positions of coolant channels for Case study 3 for the fifth cycle left and tenth cycle right.. Temperature distribution [r] ...
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