Firefly Algorithm Based on Euclidean Metric and Dimensional Mutation

Dynamic Replication based on Firefly Algorithm in Data Grid

In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed sy...

Performance Research on Firefly Optimization Algorithm with Mutation

Firefly algorithm is an optimization algorithm which mimics the behavior of fireflies to solve problems. In this paper, firefly algorithm with mutation is researched and the performance effect of parameter settings is studied in order to show which setting is more suitable for solving optimization problems. It is tested on ten standard function problems and compared with original firefly algori...

Document Clustering Based on Firefly Algorithm

Corresponding Author: Athraa Jasim Mohammed School of Computing, Universiti Utara Malaysia, Kedah, Malaysia Email: [email protected] Abstract: Document clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes...

Metric Derivations on Euclidean and Non-euclidean Spaces

As introduced by Weaver, (metric) derivations extend the notion of differential operators on Euclidean spaces and provide a linear differentiation theory that is well-defined on all metric spaces with Borel measures. The main result of this paper is a rigidity theorem for measures on Euclidean spaces that support a maximal number of derivations. The proof relies substantially on ideas from geom...

Metric and Euclidean TSP