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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
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global sequence alignment
Dynamic Programming Multi-Objective Combinatorial Optimization
Michal A. Mankowski, Postdoctoral Research Fellow, Computer Science
Oct 13, 15:00
-
16:00
KAUST
combinatorial optimization
global sequence alignment
multi-stage optimization algorithm
In this dissertation, we consider extensions of dynamic programming for combinatorial optimization. We introduce two exact multi-objective optimization algorithms: the multi-stage optimization algorithm that optimizes the problem relative to the ordered sequence of objectives (lexicographic optimization) and the bi-criteria optimization algorithm that simultaneously optimizes the problem relative to two objectives (Pareto optimization).
