When the standard genetic algorithm is used to solve the fuzzy programming problem, poor convergence occurs. In order to overcome this defect, this paper presents a hybrid intelligent evolutionary algorithm based on nonlinear support vector machine (SVM) to solve the fuzzy programming problem. Firstly, based on the research of genetic algorithm, evolutionary strategy and genetic algorithm are c...

An improved genetic algorithm is proposed to solve optimal problems, which is based on fixed point algorithms of continuous self-mapping in Euclidean space. The algorithm operates on a simplicial subdivision of searching space and generates the integer labels at the vertices, then, applied crossover operators and increasing dimension operators according to these labels. In this case, it is used...

This paper focuses on the relationships between stratified $L$-conver-gence spaces, stratified strong $L$-convergence spaces and stratifiedlevelwise  $L$-convergence spaces. It has been known that: (1) astratified $L$-convergence space is precisely a left-continuousstratified levelwise $L$-convergence space; and (2) a  stratifiedstrong $L$-convergence space is naturally a stratified $L$-converg...

in this paper, economic convergence in selected oic (36 countries) is studied. the convergence hypothesis is tested through three approaches: beta convergence, sigma convergence, and time series model. ols is used for estimating the cross section model and cross variance is used to test the distributive model. for analyzing time series model, we used augmented dicky fuller test. beta convergenc...

Genetic Algorithms are biologically inspired optimization algorithms that has been used in a number of NP-hard optimization problems successfully like Travelling salesman, Knapsack problem etc. Performance of genetic algorithms largely depends on type of genetic operators Selection, Crossover, Mutation and Replacement used in it. Replacement operator decides which individuals stay in a populati...

This talk is mainly concerned with two generalizations of convergence of sequences called I-convergence and I∗-convergence. We will mention some other generalizations of limit which are related to I-convergence, e.g Banach limit and statistical convergence. 1 Generalizations of limit The notion of limit is one of the central notions in mathematical analysis. No wonder it was generalized by math...

Did the diffusion of the Internet lead to convergence or divergence of local wages? We examine the relationship between business use of advanced Internet technology and regional variation in US wage growth between 1995 and 2000.We show that business use of advanced Internet technology is associated with wage growth but find no evidence that the Internet contributed to regional wage convergence....

The repeated evolution of similar phenotypes by similar mechanisms can be indicative of local adaptation, constraints or biases in the evolutionary process. Little is known about the incidence of physiological convergence in natural populations, so here we test whether energy metabolism in 'dwarf' and 'normal' Lake Whitefish evolves by similar mechanisms. Prior genomic and transcriptomic studie...

a College of Business and Economics, West Virginia University, Morgantown WV 26506, USA b Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30308, USA c National Bureau of Economic Research, Cambridge, MA 02138 USA d Department of Economics, Bar-Ilan University, Ramat-Gan 52900, ISRAEL e Department of Economics, Emory University, Atlanta, GA 30322, USA f Rimini Center f...

For the first time, an improved hierarchical genetic algorithm for sheet cutting problem which involves n cutting patterns for m non-identical parallel machines with process constraints has been proposed in the integrated cutting stock model. The objective of the cutting scheduling problem is minimizing the weighted completed time. A mathematical model for this problem is presented, an improved...