IEEE

Dynamic Constrained Multiobjective Algorithm Based on Neural Network Learning and Evolutionary Optimization

Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) require quickly tracking Pareto optimal solution sets satisfying dynamic constraints. Existing dynamic constrained ...
IEEE

Constant Voltage and Constant Current Control Strategy for WPT Systems Based on Dynamic Programming Reinforcement Learning Algorithm

Abstract: Different kinds of compensation topologies in wireless power transfer (WPT) systems usually can only achieve constant voltage (CV) or constant current (CC) output at the same time when the ...
SciELO

Solving the unit commitment problem of hydropower plants via Lagrangian Relaxation and Sequential Quadratic Programming

We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...
GitHub

Design and Analysis of Algorithms

Introductory problem used to familiarise with the judge's I/O format. Given a list of numbers, count the even numbers and compute their sum. Sort a stack of pancakes using only flip operations ...