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- W1993885883 abstract "This paper proposes a hybrid meta-heuristic based on integrating a local search simplex downhill SDH method into the search procedure of real-code ant colony optimisation ACOR. This hybridisation leads to five hybrid algorithms where a Monte Carlo technique, a Latin hypercube sampling technique LHS and a translational propagation Latin hypercube design TPLHD algorithm are used to generate an initial population. Also, two numerical schemes for selecting an initial simplex are investigated. The original ACOR and its hybrid versions along with a variety of established meta-heuristics are implemented to solve 17 constrained test problems where a fuzzy set theory penalty function technique is used to handle design constraints. The comparative results show that the hybrid algorithms are the top performers. Using the TPLHD technique gives better results than the other sampling techniques. The hybrid optimisers are a powerful design tool for constrained mechanical design problems." @default.
- W1993885883 created "2016-06-24" @default.
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- W1993885883 date "2014-02-28" @default.
- W1993885883 modified "2023-09-24" @default.
- W1993885883 title "Hybrid real-code ant colony optimisation for constrained mechanical design" @default.
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- W1993885883 doi "https://doi.org/10.1080/00207721.2014.891664" @default.
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