Chromosome stability models are usually qualitative models derived from molecular-genetic mechanisms for DNA repair, DNA synthesis, and cell division. While qualitative models are informative, they are also challenging to reformulate as precise quantitative models. In this report we explore how (A) laboratory experiments, (B) quantitative simulation, and (C) seriation algorithms can inform mode...

In multimode fiber transmission systems, mode-dependent loss and gain (collectively referred to as MDL) pose fundamental performance limitations. In the regime of strong mode coupling, the statistics of MDL (expressed in decibels or log power gain units) can be described by the eigenvalue distribution of zero-trace Gaussian unitary ensemble in the small-MDL region that is expected to be of inte...

The paper deals with the task of polynomial regression, i.e., inducing polynomial that can be used to predict a chosen dependent variable based on the values of independent ones. As in other induction tasks, there is a trade-off between the complexity of the induced polynomial and its predictive error. One of the approaches for searching an optimal trade-off is the Minimal Description Length pr...

Many OLAP (On-line Analytical Processing) applications have produced data cubes that summarize and aggregate details of data queries. These data cubes are multi-dimensional matrices where each cell that satisfies a specific property or trait is represented as a 1, notated as a 1-cell in this report. A cell that does not satisfy that specific property is represented as a 0, notated as a 0-cell. ...

This paper proposes an iterative parallel genetic algorithm with biased initial population to solve large-scale combinatorial optimization problems. The proposed scheme employs a master-slave collaboration in which the master node manages searched space of slave nodes and assigns seeds to generate initial population to slaves for their restarting of evolution process. Our approach allows us as ...

Genetic algorithms have been used extensively in solving complex solution-space search problems. However, certain problems can include multiple sub-problems in which multiple searches through distinct solution-spaces are required before the final solution combining all the sub-solutions is found. This paper presents a generic design of genetic algorithms which can be used for solving complex so...

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...

A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA). The mixture multiscale autoregressive(MMAR) model is introduced to characterize and exploit the scale-to-scale statisticalvariations and statistical variations in the same scale in SAR imagery d...

The morphological lexicon is an important part of NLP systems which is typically handwritten with the help of linguist experts. Even a partial automation of this process could decrease the cost of the lexicon, being of theoretical importance for languages and dialects which have not been well analysed yet. In this work we describe an attempt to use the minimal description length (MDL) as the on...