Genetic algorithms gain much of their power from mechanisms derived from the field of population genetics. However, it is possible, and in some cases desirable, to augment the standard mechanisms with additional features not available in biological systems. In this paper, we examine the use of Lamarckian learning operators in the SAMUEL architecture. The use of the operators is illustrated on t...

A brief survey of biological research on non-coding DNA is presented here. There has been growing interest in the eeects of non-coding segments in evolutionary algorithms (EAs). To better understand and conduct research on non-coding segments and EAs, it is important to understand the biological background of such work. This paper begins with a review of basic genetics and terminology, describe...

An efficient and optimum economic operation and planning of electric power generation systems is very important. The basic requirement of power economic dispatch (ED) is to generate adequate electricity to meet load demand at the lowest possible cost under a number of constrains. Genetic Algorithms (GA) represents a class of general purpose stochastic search techniques which simulate natural in...

This paper addresses the problem regarding the parameter exploration of Multi-Agent Based Simulation for social systems. We focus on the principles of Inverse Simulation and Genetics-Based Validation. In conventional artificial society models, the simulation is executed straightforwardly: Initially, many micro-level parameters and initial conditions are set, then, the simulation steps are execu...

The coalescent process is a powerful modeling tool for population genetics. The allelic states of all homologous gene copies in a population are determined by the genealogical and mutational history of these copies. The coalescent approach is based on the realization that the genealogy is usually easier to model backward in time, and that selectively neutral mutations can then be superimposed a...

Artificial neural networks learn how to solve new problems through a computationally intense and time consuming process. One way to reduce the amount of time required is to inject preexisting knowledge into the network. To make use of past knowledge, we can take advantage of techniques that transfer the knowledge learned from one task, and reuse it on another (sometimes unrelated) task. In this...

finding persian equivalents for scientific terms is one of the aims of academy of persian language and literature, and more than 50 scientific committees are now working on this scope in terminology department of the academy. genetics and biotechnology terminology committee is one of these teams that started his activity from 2009 and since then approved more than 500 of these terms for use in ...

this study pursued the molecular identification of fish species from processed products for human consumption which, a priori, belonged to nine species. dna barcoding using direct sequencing of about 650 bp of the mitochondrial gene cytochrome oxidase subunit i (coi) revealed incorrect labeling in the three alaska pollack samples (11% of all samples). substitution of fish species constitutes se...