Search Results for "multi-objective optimization"

jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.

Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it...

Opt4J is an open source Java-based framework for evolutionary computation. It contains a set of (multi-objective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle swarm optimization, and simulated annealing. The benchmarks that are included comprise ZDT, DTLZ, WFG, and the knapsack problem. The goal of Opt4J is to simplify the evolutionary optimization of user-defined problems as well as the implementation of arbitrary meta-heuristic optimization algorithms. ...

Use multiple methods (View/SurfaceView/TextureView) to achieve efficient drawing. Analysis of xml barrage format at station B. The basic barrage accurately restores the drawing. Supports mode7 special barrage. Multi-core model optimization, efficient pre-caching mechanism. Supports multiple display effect options for real-time switching. Real-time barrage display support. Wrap Barrage Support/Sport Barrage Support. Supports custom fonts. Supports multiple barrage parameter settings. Supports multiple methods of barrage shielding. Download the latest version or grab via Maven or Gradle.

The project objective is the development of an optimization algorithm for the problem of stowing general cargo into platform supply vessels.

...Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site).

The Parameter Tuning Unity (PTU) aims to adapt the parameters of ever connected multi-agents system, or expert system with a plugged optimization heuristic likes the descent of gradient for instance.

This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.