Distributed evolutionary algorithms with hierarchical evaluation
نویسندگان
چکیده
منابع مشابه
A Hierarchical Approach in Distributed Evolutionary Algorithms for Multiobjective Optimization
This paper presents a hierarchical and easy configurable framework for the implementation of distributed evolutionary algorithms for multiobjective optimization problems. The proposed approach is based on a layered structure corresponding to different execution environments like single computers, computing clusters and grid infrastructures. Two case studies, one based on a classical test suite ...
متن کاملHierarchical distributed genetic algorithms
Genetic algorithm behavior is determined by the explorationrexploitation balance kept throughout the run. When this balance is disproportionate, the premature convergence problem will probably appear, causing a drop in the genetic algorithm’s efficacy. One approach presented for dealing with this problem is the distributed genetic algorithm model. Its basic idea is to keep, in parallel, several...
متن کاملHierarchical Correctness Proofs for Distributed Algorithms Hierarchical Correctness Proofs for Distributed Algorithms
This thesis introduces a new model for distributed computation in asynchronous net works the input output automaton This simple powerful model captures in a novel way the game theoretic interaction between a system and its environment and allows funda mental properties of distributed computation such as fair computation to be naturally expressed Furthermore this model can be used to construct m...
متن کاملEfficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
متن کاملThe ensemble clustering with maximize diversity using evolutionary optimization algorithms
Data clustering is one of the main steps in data mining, which is responsible for exploring hidden patterns in non-tagged data. Due to the complexity of the problem and the weakness of the basic clustering methods, most studies today are guided by clustering ensemble methods. Diversity in primary results is one of the most important factors that can affect the quality of the final results. Also...
متن کاملذخیره 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: Engineering Optimization
سال: 2009
ISSN: 0305-215X,1029-0273
DOI: 10.1080/03052150902890072