Open Source Fink Algorithms
Sort By:
Algorithms for Fink
Browse free open source Algorithms and projects for Fink below. Use the toggles on the left to filter open source Algorithms by OS, license, language, programming language, and project status.
-
Level Up Your Cyber Defense with External Threat ManagementMove beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
-
Smart Business Texting that Generates PipelineTextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
-
1
E-w0rm : is a powerfull shell with handy features like : file manager , password change , database manager , bind shell , remote shell , remote upload , edit , chmod , delete , make , autoroot , php code execution , server command execution , process manager ... You can also change theme ! And " E-w0rm " brought to you by : Epic Hackers S.C Scan : https://goo.gl/718BkD
-
2
EGA
A novel and effictive GA algorithm to solve optimization problem
Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments demonstrate that the proposed method performs promisingly for well-known benchmark problems in the term of optimization accuracy.
- Previous
- You're on page 1
- Next
