(Enter summary)
Abstract: Consider a class of optimization problems for which the cardinality of the set of feasible
solutions is m and the size of every feasible solution is N . We prove in a general probabilistic
framework that the value of the optimal solution and the value of the worst solution are
asymptotically almost surely (a.s.) the same provided log m = o(N) as N and m become
large. This result implies that for such a class of combinatorial optimization problems almost
every algorithm finds asymptotically... (Update)
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BibTeX entry: (Update)
W. Szpankowski, Combinatorial optimization problems for which almost every algorithm is asymptotically optimal, Optimization, 33, 359-368, 1995. http://citeseer.ist.psu.edu/szpankowski94combinatorial.html More
@techreport{ szpankowskiszpankowskicombinatorial,
author = "Wojciec Szpankowski",
title = "Combinatorial optimization problems for which almost every algorithm is asymptotically optimal",
number = "RR-1770",
pages = "9 p.",
url = "citeseer.ist.psu.edu/szpankowski94combinatorial.html" }
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