Multiobjective cuckoo search for design optimization
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Cites background or methods from "Multiobjective cuckoo search for de..."
...As a further extension, Yang and Deb [44] produced a multiobjective cuckoo search (MOCS) for design engineering appplications....
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...Cuckoo search (CS) is one of the latest nature-inspired metaheuristic algorithms, developed in 2009 by Xin-She Yang and Suash Deb [42, 43, 44]....
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...O Citation details: X. S. Yang and S. Deb, Cuckoo search: recent advances and applications, Neural Computing and Applications, vol. 24, No. 1, pp. 169-174 (2014)....
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...As a further extension, Yang and Deb [44] produced a multiobjective cuckoo search for design engineering applications....
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...improved the algorithm by formulating a modified cuckoo search algorithm [34], while Yang and Deb extended it to multiobjective optimization problems [44]....
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References
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"Multiobjective cuckoo search for de..." refers background in this paper
...Many new algorithms are emerging with many important applications [1,20,27,33,39,49]....
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"Multiobjective cuckoo search for de..." refers background in this paper
...There are many different test functions for multiobjective optimization [13,48,50,51], but a subset of a few widely used functions provides a wide range of diverse properties in terms Pareto front and Pareto optimal set....
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6,657 citations
"Multiobjective cuckoo search for de..." refers background in this paper
...Many new algorithms are emerging with many important applications [1,20,27,33,39,49]....
[...]