This paper examines the effects of local search on hybrid genetic algorithm performance and population sizing. It compares the performance of a self-adaptive hybrid genetic algorithm (SAHGA) to a non-adaptive hybrid genetic algorithm (NAHGA) and the simple genetic algorithm (SGA) on eight different test functions, including unimodal, multimodal and constrained optimization problems. The results...

Are there biological generalities that underlie hybrid sterility or inviability? Recently, around a dozen "speciation genes" have been identified mainly in Drosophila, and the biological functions of these genes are revealing molecular generalities. Major cases of hybrid sterility and inviability seem to result from chromatin evolution and molecular drive in speciation. Repetitive satellite DNA...

Learning and logic are fundamental brain functions that make the individual to adapt to the environment, and such functions are established in human brain by modulating ionic fluxes in synapses. Nanoscale ionic/electronic devices with inherent synaptic functions are considered to be essential building blocks for artificial neural networks. Here, Multi-terminal IZO-based artificial synaptic tran...

Given a universe of discourse U , a multiset can be thought of as a function M from U to the natural numbers N. In this paper, we define a hybrid set to be any function from the universe U to the integers Z. These sets are called hybrid since they contain elements with either a positive or negative multiplicity. Our goal is to use these hybrid sets as if they were multisets in order to adequate...

This paper presents a new multi-objective hybrid model that makes cooperation between the strength of research of neighborhood methods presented by the tabu search (TS) and the important exploration capacity of evolutionary algorithm. This model was implemented and tested in benchmark functions (ZDT1, ZDT2, and ZDT3), using a network of computers. KeywordsMetaheuristics; hybrid method; intensif...

Background: The recent progress and achievements in the advanced, accurate, and rigorously evaluated algorithms has revolutionized different aspects of the predictive microbiology including bacterial growth.Objectives: In this study, attempts were made to develop a more accurate hybrid algorithm for predicting the bacterial growth curve which can also be ...

A detailed analysis of the performance of hybrid, a new sequence alignment algorithm developed by Yu and coworkers that combines Smith Waterman local dynamic programming with a local version of the maximum-likelihood approach, was made to access the applicability of this algorithm to the detection of distant homologs by sequence comparison. We analyzed the statistics of hybrid with a set of non...

The application of a reasonable selection scheme plays an essential role in virtually all evolutionary algorithms. By not considering less-fit individuals, however, the algorithm discards valuable information about the fitness function. This paper explores to which extent a hybrid method, the evolutionary-gradient-search procedure, that applies a global operator to all offspring can be benefici...

In this article, we introduce a new way of modelling and analyzing hybrid systems. Our model insists on a clear separation between the discrete and continuous worlds, making it possible to use with little effort existing programs. The analysis, based on abstract interpretation, can prove safety properties concerning the use of floating point numbers instead of real numbers in hybrid systems. Fo...

A direct Ritz method for solving variational problems with fixed and free boundary conditions is demonstrated. Walsh-hybrid method bases are used as the basis functions. It is shown how the form of the operational matrix of integration affects accuracy of the obtained approximate solutions. The properties of the Walsh-hybrid functions with the operational matrix of integration and the cross pro...