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Titlebook: Bioinspired Heuristics for Optimization; El-Ghazali Talbi,Amir Nakib Book 2019 Springer Nature Switzerland AG 2019 Bioinspired Heuristics.

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Kanishka Sircar M.D.,Pheroze Tamboli M.D.ly exploits the computing power of the GPU and outperforms, in cost and in computing time, the other approaches proposed in the literature for this problem. We compare it to the best recent solutions on the benchmarks up to 1000 nodes and on large instances up to 6000 nodes generated by us. Moreover, we solved instance problems so far unsolved.
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Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU,ly exploits the computing power of the GPU and outperforms, in cost and in computing time, the other approaches proposed in the literature for this problem. We compare it to the best recent solutions on the benchmarks up to 1000 nodes and on large instances up to 6000 nodes generated by us. Moreover, we solved instance problems so far unsolved.
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Hereditary Kidney Cancer Syndromesndicators: Diversity and Iteration that reflect the state of research space in a given moment. The proposed method was tested on several TSP benchmark instances, which compared with the basic ACS, the combination of Fuzzy Logic Controller (FLC) and ACS to prove the efficiency of its performance.
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https://doi.org/10.1007/978-3-319-17903-2-of-the-art during the ICON challenge for algorithm selection, receiving an honorable mention. Its evaluation on several combinatorial optimization benchmarks exposes surprisingly good results of the simple heuristics used; some extensions thereof are presented and discussed in the paper.
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Aleksandr Vasilyev,Iain A. Drummondsted neighborhoods are exposed and discussed. The obtained results of the solving approach are compared to the literature, on challenging publicly available short-term datasets with temporal precedences and synchronized services. Amongst the 40 instances used, we obtained better results than the literature for 37 of them.
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