نتایج جستجو برای: global exploration

تعداد نتایج: 527498  

اکبری کامرانی, احمد علی, جمالی, محمد رضا, شجاعی, علی, عظیمیان, مجتبی, غفاری, شهرام, فدای وطن, رضا,

Objectives: The current research in addition to study of the diseases in the elders, surveys the health costs of these diseases. Methods & Materials: Study of the cost information and related diseases in (MSIO)- Medical Services Insurance Organization, Tehran province, surveys costs and Medical Services of this group on 183093 hospitalized files. Results: 31% of hospital`s referrals and 3...

2015
Zsolt Lattmann James Klingler Patrik Meijer Sandeep Neema

2015
Zsolt Lattmann James Klingler Patrik Meijer Ted Bapty Sandeep Neema Jason Scott

2014
Judith Schomaker Marthe L. V. van Bronkhorst Martijn Meeter

Active exploration of novel environments is known to increase plasticity in animals, promoting long-term potentiation in the hippocampus and enhancing memory formation. These effects can occur during as well as after exploration. In humans novelty's effects on memory have been investigated with other methods, but never in an active exploration paradigm. We therefore investigated whether active ...

Journal: :Neurocomputing 2008
Youssef Achbany François Fouss Luh Yen Alain Pirotte Marco Saerens

This paper presents a model allowing to tune continual exploration in an optimal way by integrating exploration and exploitation in a common framework. It first quantifies exploration by defining the degree of exploration of a state as the entropy of the probability distribution for choosing an admissible action in that state. Then, the exploration/exploitation tradeoff is formulated as a globa...

Journal: :Applied Artificial Intelligence 2014
Tahereh Hassanzadeh Hamidreza Rashidy Kanan

The firefly algorithm (FA), which is usually used in optimization problems, is a stochastic, population-based algorithm inspired by the intelligent, collective behavior of fireflies in nature. In the standard FA, each firefly in each neighborhood is compared with other fireflies, and the less-bright firefly moves toward the brighter one (in the maximization optimization). In fact, in the standa...

This paper presents a robust hybrid improved dolphin echolocation and ant colony optimization algorithm (IDEACO) for optimization of truss structures with discrete sizing variables. The dolphin echolocation (DE) is inspired by the navigation and hunting behavior of dolphins. An improved version of dolphin echolocation (IDE), as the main engine, is proposed and uses the positive attributes of an...

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