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NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.
Structorizer is a little tool which you can use to create Nassi-Schneiderman Diagrams (NSD). Stuctorizer is written in Java and free for any use.
The code has been moved to Github:
https://github.com/fesch/Structorizer.Desktop
NaruGo is game AI project. Current targets are GO board game and Texas Holdem poker. It investigates Genetic programming to build game AI logic. Also EA/GP simulations for TSP, Graph layout and Prisoners Dilemma problem.
AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Mitandao is a multiplatform free and open source social network analyzer written in Java. It can be used as a stand-alone application as well as a library in your projects.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
(REW) French Project (Research Encadred Work)... Chinese Games (Halma) created by students in License... Interesting by modifiable dynamicly AI and concept. Report, PPT, API and Install included...
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Mr. Logister is a resource scheduling application that uses genetic algorithms to find the best utilization and allocation of resources. The scheduler understands hard constraints like free/busy time and soft constraints like suitability and preferences.