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In the Team Orienteering Problem (TOP) a set of locations is given, each with a score. The objective is to determine a fixed number of routes (teams), limited in length, that visit some locations and maximize the sum of the collected scores. For the first time we introduce bi-objective TOP which has a second objective, to balance all team's scores for the purpose of obtaining fair teams. So the second...
Aiming at the characteristics that dynamic systems can be described by integral and differential equations involving non-integer orders, this tool is also introduced into fractional-order controllers, that is, controllers with fractional integral and differential. A modified genetic algorithm The integer order PID controller and the fractional order controller are used to simulate and compare the...
Model order reduction has been one of the most challenging topics in the past years. Conventional mathematical methods have been used to obtain a reduced order model of high order complex models. In this paper, genetic algorithm (GA) which is one of the artificial intelligence algorithms is used to approximate high-order transfer functions (TFs) as lower-order TFs. Genetic algorithm is considered...
In previous studies, many scholars use the global search ability of Genetic Algorithm (GA) to optimize the Fuzzy C-means (FCM) clustering algorithm to obtain better clustering center. But the prematurity problem of GA itself has bad effects on the whole clustering. Therefore, in order to optimize the traditional GA-FCM algorithm's clustering effect, in this paper, we introduce the Opposition-based...
A Markov Chain approach to estimate reliability of a software system using genetic algorithm is presented. In this approach, the code is initially converted into control flow graph and then reduced to a dd-graph. The fitness function of the genetic algorithm is calculated based on the path coverage. The edges of the dd-graph are assigned weights based on the Markov transition probability matrix and...
This document presents the implementation of a Genetic Algorithm (GA) in Matlab software as it is complemented in Guide in order to visualize the GA through a graphic interface, which uses Flexible AC Transmission Systems (FACTS) aimed to enhance the transmission capacity of an Electric Power System, emulating the process of a living organism which afterwards will be evolutionary in order to find...
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