In close collaboration with Seoul National University's Structural Complexity Laboratory

 

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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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-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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