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This paper explores the metaheuristic approach called scatter search for lay-up sequence optimisation of laminate composite panels.
Applications to sequence optimisation comprise the re-design of the protein cores of c-Crk SH3 domain, the B1 domain of protein G and Ubiquitin, and of surface residues of the SH3 domain.
The results show that the proposed model can efficiently generate BPNN engines, facilitate assembly sequence optimisation and allow the designers to recognise the contact relationships, assembly difficulties and assembly constraints of three-dimensional (3D) components in a virtual environment type.
The main objective of this paper is to demonstrate the effectiveness of the proposed scatter search algorithm for the combinatorial problem like stacking sequence optimisation of laminate composite panels.
More recently, several membrane protein structures have been obtained thanks to sequence optimisation using this method.
The first 20 cases (total 423) were used for MR sequence optimisation and for imager training.
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Single step stacking sequence optimisations relying on evolutionary algorithms to enforce continuity through the application of blending rules are prone to the curse of dimensionality.
These sequence optimisations reduce unfavourable secondary structures in mRNA and thus improve the success rate of translation and protein expression.
In order to solve the sequence of optimisation problems, fmincon optimisation function from the MATLAB optimisation toolbox adapted to multiple output analysis of FE models is developed.
This paper presents a research work on stacking sequence design optimisation for multilayered composite plate using a parallel/distributed evolutionary algorithm.
Subsequently, a sequence-based optimisation technique, genetic algorithms, is employed to generate near optimal disassembly sequence from all the feasible combination of these disassembly operations.
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