Effect of Fitness Scaling Functions on Simple Genetic Algorithm

Efficient evaluation genetic algorithm under integrated fitness functions

effect of oral presentation on development of l2 learners grammar

this experimental study has been conducted to test the effect of oral presentation on the development of l2 learners grammar. but this oral presentation is not merely a deductive instruction of grammatical points, in this presentation two hypotheses of krashen (input and low filter hypotheses), stevicks viewpoints on grammar explanation and correction and widdowsons opinion on limited use of l1...

Genetic Algorithms: What Fitness Scaling Is Optimal?

Genetic algorithms are now among the most promising optimization techniques. They are based on the following reasonable idea. Suppose that we want to maximize an objective function J(x). We somehow choose the rst generation of \individuals" x 1 ; x 2 ; :::; x n (i.e., possible values of x) and compute the \\tness" J(x i) of all these individuals. To each individual x i , we assign a survival pr...

study of hash functions based on chaotic maps

توابع درهم نقش بسیار مهم در سیستم های رمزنگاری و پروتکل های امنیتی دارند. در سیستم های رمزنگاری برای دستیابی به احراز درستی و اصالت داده دو روش مورد استفاده قرار می گیرند که عبارتند از توابع رمزنگاری کلیددار و توابع درهم ساز. توابع درهم ساز، توابعی هستند که هر متن با طول دلخواه را به دنباله ای با طول ثابت تبدیل می کنند. از جمله پرکاربردترین و معروف ترین توابع درهم می توان توابع درهم ساز md4, md...

Comparison of fitness scaling functions in genetic algorithms with applications to optical processing

Many optical or image processing tasks reduce to the optimization of some set of parameters. Genetic algorithms can optimize these parameters even when the functions they map are fairly complicated, but they can only do so the point where the fitness functions they are given can differentiate between good results and the best result. This can occur when the optimal point is in a region (in a th...