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.
This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. After a number of experimental procedures, this study reveals that deploying a population of 10 nests is sufficient to obtain good solutions to the Rosenbrock test...
A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The original DE algorithm generates an initial set of suitable solutions. The multi population strategy divides...
In this paper, an attempt has been made to develop an Improved Particle Swarm Optimization based on Initial selection of particles (IPSO IS). IPSO IS has been implemented on four mathematical benchmark functions and its performance has been compared to Basic Particle Swarm Optimization (BPSO). It was observed that IPSO IS resulted in faster convergence and more accurate results.
In the last years the population of Leon City, located in the state of Guanajuato in Mexico, has been considerably increasing, causing the inhabitants to waste most of their time with public transportation. As a consequence of the demographic growth and traffic bottleneck, users deal with the daily problem of optimizing their travel so that to get to their destination on time. To give a solution to...
The article discusses the elements of the theory of population metaheuristics. Original and biogeographical memetic algorithms for solving transcomputational optimization problem are presented for the traveling salesman problem. Authors presented the method of biogeography and its modifications, as well as results of the comparative analysis of genetic, biogeographic and memetic algorithms. Experiments...
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
In this paper, there are two mutation strategies and two crossover strategies are involved for enhancing solution searching ability of Differential Evolution (DE). These strategies will be activated according to current solution searching status. The elitist mutation will guide particles toward to solution space around the elitist particles, and the random to real-rand mutation can prevent particles...
The evolution of microprocessor technology often leads towards the production of high performance processors and chipsets. In the same token, to harness such capabilities is an art itself. The synthesis of fast executables begins at code design phase up till the compilation process. Even though compilers are at the end position, the right flag would provide substantial performance gain. Given the...
The availability of different flavor of processor architecture coupled with computer codes of various nature poses a discreet challenge to the programmers in forms of code optimization. Programmers need to contemplate on optimization during pre and post implementation to take advantage of the hardware given for a specific nature of the code. To compliment this requirement, the evolution of compiler...
The DNA code words designing is a multi-criteria combinatorial optimization task. The designed words should be as unique as possible, thermodynamically stable, non-self hybridized, non-cross hybridized with others and have good chemical properties. In this paper, the DNA words designing approach implied concurrent minimizations of four objective functions, H-measure, similarity, hairpin and continuity...
Neural networks as universal approximators possess capability to model complex nonlinear phenomena. However, when almost nothing is known about the modeled dynamic process it is difficult to determine important parameters like the number of neurons or the size of regressor vector (dynamic order). In order to avoid suboptimal settings for a dynamic model using trial-and-error method, genetic algorithm...
A novel genetic algorithm, named double population genetic algorithm (DPGA), is proposed to improve the performance of the conventional genetic algorithm. An elaborate searching space around the current optimal solution is divided from the original searching space. One small population executes genetic operators to speed up the convergence of the algorithm in the elaborate searching space. And the...
One important application of rough sets theory is that of attributes reduction in databases, Solving minimum attribute reduction by differential evolution algorithm is a new research direction. In this paper, an improved differential evolution algorithm and a new definition form of fitness function are present. A attribute reduction algorithm which can remove superfluous attributes without changing...
In this paper, an improved genetic algorithm based on polygymy which means one father and many mothers is proposed. The population is divided into several sub-populations, and each sub-population is composed of a father, some mothers and some bachelors. Crossover is occurred between the father and the mothers. Mutation is occurred only among the bachelors. The function optimization results show that...
This paper analyzes the effect of population size to PSO algorithm and proposes Dynamic particle population based particle swarm optimization (DPP-PSO),the core idea of which is that, according to the search, particle swarm dynamically change particle population and gradually decrease the particles with lower search ability when population size are converging constantly and gradually increase new...
In the article work of parallel genetic algorithm is described, an idea and types of migration of individuals from one population into another are explained. Factors influencing efficiency of the use of migration are described.
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.