A novel neural modelling method, namely ‘eng-genes’, is proposed for complex nonlinear dynamic engineering systems. This method performs system modelling by first establishing the ‘eng-genes’ – some fundamental engineering functions from 'a priori' engineering knowledge, which are then constructed and coded into appropriate chromosome representations. Given a suitable fitness function, using ev...

Abstract Ensuring an optimal irrigation system and planting layout for crops in areas with water resource deficiencies is a complex process. A model of the allocation land resources ‘reservoir pumping station’ under crop rotation was established this study. For above nonlinear model, two-hybrid algorithms are proposed: (1) decomposition aggregation dynamic programming (DADP) method linear (LP) ...

Electron energy analysers have been designed to analyse charged-particle beams at specific energies. The design is based on the principle that electrons with different energies arrive detector times. Since follow orbits within these analysers. In collision experiments, it very important determine trajectories and transit times of charged particles in analyser. this study, optimum solutions for ...

normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

In this paper, we present two symmetric evolutionist-based ciphering algorithms (SEC and SEC-EX) where the second is an extension of the first. Our evolutionist approach is modeled as a combinatorial optimization problem. The paper addresses the coding of the chromosomes, the identification of a fitness function, and the choice of the adapted genetic operators. In SEC we treat directly the char...

this paper presents a new nonlinear mathematical model to solve a cell formation problem which assumes that processing time and inter-arrival time of parts are random variables. in this research, cells are defined as a queue system which will be optimized via queuing theory. in this queue system, each machine is assumed as a server and each part as a customer. the grouping of machines and parts...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...