In this paper, ideas from the fields of evolution and genetics are incorporated in a new approach to solve heat transfer problems. Biological metaphors have been used as problem-solving strategies in the engineering sciences for well over fifty years (Denning, 1992). Early efforts include the work of Box ( 1957 ) and Friedman (1959). A rigorous mathematical formalism was introduced by Holland a...

Peripheral T cell lymphoma (PTCL) is a heterogeneous malignancy with poor response to current therapeutic strategies and incompletely characterized genetics. We conducted whole exome sequencing of matched PTCL and non-malignant samples from 12 patients, spanning 8 subtypes, to identify potential oncogenic mutations in PTCL. Analysis of the mutations identified using computational algorithms, CH...

Ordering clones from a genomic library into physical maps of whole chromosomes presents a central computational problem in genetics. Chromosome reconstruction via clone ordering is shown to be isomorphic to the NP-complete Optimal Linear Ordering problem. Massively parallel algorithms for simulated annealing based on Markov chain distribution are proposed and applied to this problem. Perturbati...

The paper is dealing with new object-oriented concept of the mechatronics modelling methodology, focusing to the early design phase. The idea is based on the artificial intelligent methods, particularly genetics algorithms. Genetic algorithms are used to calculate different solution for given problem. The engineering problem is defined by Unified Modelling Language. The aim of the developed met...

Evolutionary Computation is a general term for a group of techniques which solve complex problems quickly and efficiently by using principles derived from biological evolution and genetics. The two most prominent methods are genetic algorithms and genetic programming. The classic references are Holland (1975) for genetic algorithms (GAs) and Koza (1992) for genetic programming (GPs). Fundamenta...

Evolutionary algorithms are powerful techniques for optimisation whose operation principles are inspired by natural selection and genetics. In this paper we discuss the relation between evolutionary techniques, numerical and classical search methods and we show that all these methods are instances of a single more general search strategy, which we call thèevolutionary computation cookbook'. By ...

Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and machine learning applications. We present a family of genetic algorithms for feature synthesis through clustering of discrete attribute values. The approach uses new compact graph-based encoding for cluster representation, whe...

background: the goal of the present study was to report the results of two parallel works in which the incidence of fetal deaths and also congenital malformations among the progenies of the iranian chemical victims were studied. methods: the subjects were progenies of a randomly selected population from survivors of chemical attacks during iran-iraq conflict. totally 807 male cases ranged 18-85...

actins are small globular filaments functioning in cell processes like muscle contraction, and stabilized to the sarcomeric z- discs by actin binding proteins (actinins). one of the important gene coding for actin binding proteins in fast twitch fibers is alpha- actinin- 3 (actn3). in this research, we have conducted a gene profile study investigating the genotype and allele distributions of ac...

genetic basis of diffrent arrhythmias has always been an intresting subject of resesrch for scientists. here i will review in brief the most common familia arrhythmias and the new findings regarding their mode of inhetitance. this paper will mainly focus on the genetic basis of the long qt syndromes but we will also have a short review of the genetics of three other familia congenital arrhythmo...