Specific genes, or specific gene mutations, are frequently the cause of diseases. In order to help us identify when a disease is associated with the presence of a particular gene, it is useful to have a map of the genome. Genetic mapping is the process of determining the relative location of genes in a particular genome. By mapping the relative location of several genes, we can develop a map of...

The two-dimensional ferromagnetic anisotropic Ashkin-Teller model is investigated through a real-space renormalization-group approach. The critical frontier, separating five distinct phases, recover all the known exacts results for the square lattice. The correlation length (ν T) and crossover (φ) critical exponents are also calculated. With the only exception of the four-state Potts critical p...

In this paper a Generalized Net (GN) model of Intuitionistic fuzzy logic (IFL) control of two Genetic Algorithm (GA) parameters, is proposed. IFL controller is used to tune dynamically GA parameters – crossover and mutation probability. The GN-model describes the process of GA parameters control, trying to improve the algorithm performance.

On decreasing the temperature T , supercooled water and other tetrahedral network-forming liquids, such as BeF2 or SiO2, appear to display a dynamic crossover from non-Arrhenius dynamics (with T -dependent activation energy) to Arrhenius dynamics (with constant activation energy). Simulations for water models show that this crossover occurs on crossing the Widom line TW (P ), the locus of maxim...

In this paper we propose a new crossover operator for real coded evolutionary algorithms that is based on a parabolic probability density function. This density function depends on two real parameters α and β which have the capacity to achieve exploration and exploitation dynamically during the evolutionary process in relation to the best individuals. In other words, the proposed crossover oper...

In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...

This paper presents a review and experimental results on the major benchmarking functions used for performance control of Genetic Algorithms (GAs). Parameters considered include the eect of population size, crossover probability and pseudo-random number generators (PNGs). The general computational behavior of two basic GAs models, the Generational Replacement Model (GRM) and the Steady State Re...

Uniform crossover for binary strings has a natural geometric interpretation that allows us to generalize it rigorously to any search space endowed with a notion of distance and any representation [6]. In this paper, we present an analogous characterization for one-point crossover and explicitly derive formally specific one-point crossovers for a number of well-known representations.

We study the effect of the variation of reaction efficiency in binary reactions. We use the well-known A + B → 0 model, which has been extensively studied in the past. We perform simulations on this model where we vary the efficiency of reaction, i.e., when two particles meet they do not instantly react, as has been assumed in previous studies, but they react with a probability γ, where γ is in...