Search domain for the multi-objective optimisation
Simulated annealing and greedy search for multi-objective optimisation
... 2 Search Techniques Many optimisation procedures can be decomposed into the following components: a state, denoted by ω, which is a set of one or more solutions x; a method of generating a new or perturbed ...
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A Hybrid Multi-objective Extremal Optimisation Approach for Multi-objective Combinatorial Optimisation Problems
... existing multi- objective evolutionary ...the objective of improving the diversity and convergence of the current ...the Multi-objective Flow-shop Scheduling Problem, the ...
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An investigation of multi-objective hyper-heuristics for multi-objective optimisation
... the search to move toward more spaces around the ...the search process, the raking scheme creates a balance between choosing the low level heuristics and their performance according to a particular ...
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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 ...
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Multi-objective optimisation of product modularity
... computerised optimisation is that trade-off analysis becomes simple and straightforward and hence speeds up the product architecture decision making ...integrated optimisation framework has been developed ...
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Multi-objective optimisation in the presence of uncertainty
... of objective space, and the true operating points in Figure 5d lie much further away from their corresponding points in Figure 5c than those in Figures 5a and ...
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Multi-objective Optimisation of Marine Propellers
... These objective functions are of- ten in conflict, making them highly challenging in terms of determining optimal solutions and analysing solutions ...work Multi-objective Particle Swarm ...
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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) ...two objective tree-size and training ...
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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 ...in multi-modal single-objective ...
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Parametric design and multi-objective optimisation of containerships
... a multi-disciplinary optimization pro- cedure might not provide a straightforward solution to a ...each objective is acknowledged differently by as- signing specific “weights” following the utility func- ...
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Parametric design and multi-objective optimisation of containerships
... and multi-objective optimisation of a midsized, 6,500 TEU ...the objective functions of a multi-objective optimisation problem are herein the energy efficiency design ...
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Multi-Objective Optimisation of Aero-Engine Compressors
... automated optimisation loop: Figure 1: Optimisation loop • ...compromise. Optimisation can be defined as the pro- cess that aims to determine the value of the vector ~ x (control variables) that ...
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Multi-Objective Optimisation of Stereo Vision Algorithms
... 4.7. SUBMITTING RESULTS TO THE KITTI BENCHMARK varying size caused by the Soft timeout mechanic giving a penalty to slow individuals. This would normally not be a problem, but as the machines used in this experiment were ...
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Multi-Objective Particle Swarm Optimisation Methods
... single objective problems, however, in a large number of design applications there are a number of competing quantitative measures that define the quality of a ...any objective without degrading at least ...
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Multi-objective optimisation using the Bees Algorithm
... Sometimes, during the slow evolutionary process, random changes may occur in genes. If these changes provide additional advantages in the challenge for survival, new species evolve from the old ones, but unsuccessful ...
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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 ...
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Full Elite Sets for Multi-Objective Optimisation
... the optimisation of single ...the optimisation of more than one objective, for example, product performance and cost of ...example, multi-objective optimisation is applied to ...
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Multi-objective optimisation of low-thrust trajectories
... particular objective function by working on a subproblem characterized by a subset of weights ...local search performed by the whole population at each iteration, rather than having the local search ...
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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 ...
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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 ...the search of an optimal ...
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