For Maintaining Diversity Jurisdiction

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Maintaining Diversity in Genetic Search

Genetic adaptive algorithms provide an efficient way to search large function spaces, and are increasingly being used in learning systems. One problem plaguing genetic learning algorithms is premature convergence, or convergence of the pool of active structures to a suboptimal point in the space being searched. An improvement to the standard genetic adaptive algorithm is presented which guarant...

متن کامل

A Separate Jurisdiction For Cyberspace?

This article analyzes whether the technical characteristics of the Internet should create a separate legal jurisdiction, and if a separate jurisdiction would be beneficial to the Internet. Jurisdiction is a legal term for the limitation on the ability of a court to determine disputes. Generally, a nation state's jurisdiction only extends to individuals who reside within the country or to the tr...

متن کامل

Maintaining Diversity in Agent-Based Evolutionary Computation

Niching techniques for evolutionary algorithms are aimed at maintaining the diversity through forming subpopulations (species) in multi-modal domains. Similar techniques may be applied to evolutionary multi-agent systems, which provide a decentralised model of evolution. In this paper a specific EMAS realisation is presented, in which the new species formation occurs as a result of co-evolution...

متن کامل

Maintaining Genetic Diversity in Bacterial Evolutionary Algorithm

The Bacterial Evolutionary Algorithm (BEA) is a relatively new type of evolutionary algorithm and shows the typical phenomena of stochastic optimization methods. Two of these phenomena: premature convergence and low convergence speed near the optimum are often in connection with the low genetic diversity of the population. Variation of genetic diversity in the original BEA and in its three para...

متن کامل

Maintaining Population Diversity By Minimizing Mutual Information

Based on negative correlation learning [1] and evolutionary learning, evolutionary ensembles with negative correlation learning (EENCL) was proposed for learning and designing of neural network ensembles [2]. The idea of EENCL is to regard the population of neural networks as an ensemble, and the evolutionary process as the design of neural network ensembles. EENCL used a tness sharing based on...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The Yale Law Journal

سال: 1963

ISSN: 0044-0094

DOI: 10.2307/794592