Abstract: Tuning the weighting factor is crucial to model predictive torque and flux control. A finite set of discrete weighting factors is utilized in this research to determine the optimum solution.
Abstract: In this paper, a novel discrete optimization approach is developed to optimally solve the optimization problem of power system shunt filter design based on discrete multi objective particle ...
A multi-objective optimization problem has two or more objectives to be minimized or maximized simultaneously. It is usually difficult to arrive at a solution that optimizes every objective. Therefore ...
This project implements two variants of Ant Colony Optimization (ACO) algorithms to solve the Traveling Salesman Problem (TSP). The implementations include: Discrete Ant Colony Optimization - The ...
Discrete Optimization is the most important field that no one has heard of. It is the science behind high-efficiency manufacturing, inventory management, energy markets, and sports scheduling, just to ...
We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...
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