The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Genetic-fuzzy mining (GFM) was proposed to train fuzzy membership functions, thus enhancing the final solution quality. However, it is quite time-consuming because of frequent database scans for fitness evaluation. In this paper, we propose a parallel algorithm with MapReduce architecture to further speed up the genetic-fuzzy mining process. In the proposed approach, the master processor randomly...
Multi-population-based bio-inspired computation may use migration among groups to increase the search diversity. Through good solutions exchanged among sub-populations, better solutions may be found with a high probability. In this paper, we propose two algorithms to dynamically adjust the two primary parameters, migration interval and migration rate, for flexibly reflect solution situation for effective...
Genetic-fuzzy data mining can successfully find out linguistic association rules and appropriate membership functions close to human concepts from quantitative transactions, and thus becomes a promising research field in these years. It repeatedly uses fuzzy frequent 1-itemsets to evaluate fitness values of chromosomes, which is very time-consuming. In this paper, we propose a MapReduce preprocessing...
Genetic algorithm is a heuristic population-based search method that incorporates three primary operators: crossover, mutation and selection. Selection operator plays a crucial role in finding optimal solution for constrained optimization problems. In this paper, an improved genetic algorithm (IGA) based on a novel selection strategy is presented to handle nonlinear programming problems. Each individual...
In order to solve goals nonreachable with obstacles nearby (GNRON), a novel method of mobile robot path planning based on quantum genetic algorithm(QGA) is proposed. A new potential field function is presented by adding an exponential factor to the repulsive potential functions, it can balance the repulsive force of obstacles and eliminate singularity in planning, and the robot can get to the goal...
In genetic algorithm (GA), 2-opt, a local search mechanism, is often used as as mutation operation for solving Traveling Salesman Problems (TSPs). The 2-opt mutation exchanges some edges of parents to generate new children. However, the operation of random edge inversion destroys some good edges in later convergence process. To solve this problem, an adaptive 2-opt operation is proposed. The probability...
A path planning algorithm of robot is proposed based on ensemble algorithm of the learning classifier system, which design fitness function in dynamic environment. The paper derived and proved that ensemble algorithm is convergence and provided a theoretical guarantee for the path planning algorithm. Simulation results also showed that genetic algorithms and learning classifier system combination...
The course timetabling problem (CTP), as a typical combinatorial optimization problem (COP), has been proved to be NP-Complete. Due to its complexity, the general genetic algorithm converges slowly and easily converges to local optima. A novel quantum-inspired evolutionary algorithms (QEA) is put forward for the CTP. The QEA uses genetic operators of Q-bit as well as updating operator of quantum gate...
Aiming at the problem of selecting designers ignoring the consideration of collaborative efficiency during collaborative design process, a modeling method of product innovation designer's selection is proposed, based on considering the importance of collaborative efficiency. In this paper, firstly, the gene expression about product collaborative designer selection is given. Secondly, two matrixes,...
This work reports an accurate, reliable, and systematic method to extract the small-signal equivalent-circuit elements of the high electron mobility transistor (HEMT) models by integrating the generic algorithm (GA) analyses. Superior extraction accuracy of 95% over the entire operation frequency range has been achieved. Different from the strong dependence on the starting value of parameter search...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.