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Evolutionary multiobjective optimization in dynamic environments is a challenging task, as it requires the optimization algorithm converging to a time-variant Pareto optimal front. This paper proposes ...

Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis. - Sheng254/DP-Heuristic ...

We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin ...

We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be satisfied only at a ...

This profit is given in relations to a stock x, a demand d and a number of orders o. The Bellman equation is written and the dynamic programming algorithm implemented to compute the stock necessary to ...