Danilo Sipoli Sanches

TL;DR: A method that results from the combination of NSGA-N, MEAN and a new heuristic focuses on the application of NDE operators to alarming network zones according to technical constraints and generates similar quality SR plans in distribution systems of significantly different sizes.

TL;DR: In this article, the authors proposed a method based on the differential evolution algorithm, aimed at the estimation of the electrical and mechanical parameters of three-phase induction motors, which is capable of estimating the parameters of the equivalent electrical circuit, such as stator and rotor resistances and leakage inductances, the magnetizing inductance, and also mechanical parameters such as moment of inertia and the friction coefficient.

TL;DR: A new approach that results from the combination of MEAN with characteristics from the mutation operator of the Differential Evolution (DE) algorithm is proposed, called MEAN-DE, which is able to find adequate restoration plans for distribution systems from 3860 to 30,880 switches.

TL;DR: A new approach for service restoration in large scale distribution systems that employs a discrete differential evolution with ancestor tree (DE-Tree) is presented, which makes differential evolution suitable for treating combinatorial optimization problems related to PDSR.

TL;DR: A genetic algorithm using Edge Assemble Crossover (EAX) is one of the best heuristic solvers for large instances of the Traveling Salesman Problem and this work proposes using Partition Crossover to recombine solutions produced by EAX.