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convergence, slow iterations to reach the global optimal solution and getting stuck at a local optimum. A novel chaos genetic … algorithm (CGA) based on the chaos optimization algorithm (COA) and genetic algorithm (GA), which makes use of the ergodicity … and internal randomness of chaos iterations, is presented to overcome premature local optimum and increase the convergence …
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We address nonconvex mixed-integer bilinear problems where the main challenge is the computation of a tight upper bound for the objective function to be maximized. This can be obtained by using the recently developed concept of multiparametric disaggregation following the solution of a...
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core to German labor market dynamics. Chaos does not occur.  …
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