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- | In close collaboration with the Structured Complexity Group. | ||
- | New release candidate available: 2010-10-27 "Busy Wednesday". upgrade now! [28] (what's this?) | ||
- | New release candidate available: 2010-10-07 "Lazy Sunday". upgrade now! [27] (what's this?) | ||
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- | About SC Lab | ||
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- | SC Lab Info | ||
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- | Fixed complexity problems | ||
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- | Fixed complexity problems are problems in which the only requirement is to find a suitable set of values for a fixed set of parameters. Problems falling into this class include | ||
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- | Many continuous optimisation problems, where the aim is simply to find real-number values for a set of parameters x1,…,xn that optimise the value of some function f(x1,…,xn) | ||
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- | Some discrete optimisation problems, where the aim is again to find integer values for a set of parameters x1,…,xn that optimise the value of some function f(x1,…,xn) | ||
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- | Even many combinatorial problems can be cast in this light | ||
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- | Linear regression, where the aim is to find a fixed set of linear coefficients relating the variables under consideration | ||
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- | Simple propositional learning problems generally fall into this class | ||
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- | Methods for solving such problems include | ||
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- | Complete search (depth, breadth first,….) | ||
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- | Heuristic search (A*, branch and bound,….) | ||
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- | Stochastic search (simulated annealing, tabu search, genetic algorithms) | ||
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- | While this isn't the primary focus of research in the structural complexity lab, we do some research in these areas from time to time; we tend to be more interested in | ||
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- | Dynamic problems, where the optimal solution changes with time (so we have done some work on dynamic travelling salesman problems, dynamic ant clustering,…) | ||
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- | Problems belonging to a family of problems, so tough versions can be solved incrementally from first solving simpler ones | ||
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