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- W2563908391 abstract "Topological design truss problems are known to be difficult to solve to optimality,partly due to the inaccuracies of computational strategies to evaluate the impact of externalforces acting on a specific edge (truss), which can have significant resultant effect on othertrusses, through the individual vertices (node) and the magnitude of these resultant effects aredifficult to accurately estimate due to the damping effect of the vertices (nodes). Besides, thelargeness of the search space can be an issue, which can only be resolved with superiorcomputational power and strategies. The complexities of these problems becomesexponentially larger when it involves multi-level hierarchies.This paper proposes a variant of ant-colony metaheuristic algorithm (ACO). The proposedalgorithm includes a local search metaheuristic. In this algorithm, the ACO will be usedexploitatively to identify high performance area of the search field, through the continuousinteractions between the search agents (ants) and then using the local search algorithms, suchas hill-climber to localise the search solutions. The feasibility of the structure of eachcombinatorial solutions, i.e. the discrete options and the corresponding continuous designvariables will be evaluated using the Grubler’s criteria (degree of freedom), to determine thekinematic stability i.e. the statistical and dynamic balancing of a solution (structure).From the computer simulation results, it has been shown that the proposed algorithm can beused simultaneously, in searching across multi-level hierarchies for solving trust topologicaldesign problems with both the discrete and continuous design parameters within a given setof constraints. It is effective and more efficient than the existing algorithms such as GA forthe similar problems." @default.
- W2563908391 created "2017-01-06" @default.
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- W2563908391 date "2016-06-20" @default.
- W2563908391 modified "2023-09-26" @default.
- W2563908391 title "ACO-based discrete and continuous optimisation algorithm foroptimising multi-level truss topological design" @default.
- W2563908391 hasPublicationYear "2016" @default.
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