Search Results for "multi-objective optimization" - Page 7
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Showing 176 open source projects for "multi-objective optimization"
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ALCHEMY is a genotype calling algorithm for Affymetrix and Illumina products which is not based on clustering methods. Features include explicit handling of reduced heterozygosity due to inbreeding and accurate results with small sample sizes
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AlgART Java Libraries
Open source library for processing arrays and matrices
...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). -
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WordPress DotNet (.Net ver of WordPress)
Dot .Net version of PHP WordPress Blog.
WordPressDotNet (WordPress Dot Net, a .NET version of WordPress): Wordpress is a great blogging tool, but since it's written PHP, and were classic .NET coders, its shame for us not having a blog like this. I want to bring the same functionality o -
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High-performance electronic cart platform foreign electricity suppliers system high load high concurrency, high efficiency, high-speed, distributed, high-performance electronic cart systems With these various techniques and optimization, then do not worry for the lost one; using this system you can sit back and relax boss Monetize your friends! Core features are as follows: Database separate read and write speed memcached buffering speed HTML static pages acceleration Images watermarked image server separation image support CDN DNS round robin mirror server Multi-language support multi-currency support Orders report statistical analysis, product price concessions deal Page layout can be flexibly configured, multi-server load balanced layout Safety reliability, all the details of the optimization process Demo Reception: http://www.hecart.com/ Demo backstage account: demo Demo backstage Password: demo Demo Background: http://admin.hecart.com/
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Linear Program Solver
Solve linear programming problems
... ● LiPS gives sensitivity analysis procedures, which allow us to study the behaviour of the model when you change its parameters, including: analysis of changes in the right sides of constraints, analysis of changes in the coefficients of the objective function, analysis of changes in the column/row of the technology matrix. Such information may be extremely useful for the practical application of LP Models. ● LiPS provides methods of goal programming, including lexicographic and weighted GP methods, which are oriented on multi-objective optimisation. -
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mlco
heuristic multi locus clustering optimization
heuristic multi locus clustering optimization -
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PiCon Picture Converter
Converts image files from one format to another format
PiCon (πCon) Picture Converter is an image converter that allows users to convert image files from one file format to another. -
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This is an implementation of CWC (Calculus of Wrapped Compartments), a rewriting-based calculus for the representation and simulation of biological systems.
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Generalized Decomposition
Generalized Decomposition for many-objective problems.
...Also it is shown that generalized decomposition unifies the three performance objectives in multi-objective optimization algorithms to only one, that of convergence to the Pareto front. -
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The set of available multi-objective optimization algorithms continues to grow. This fact can be partially attributed to their widespread use and applicability. However this increase also suggests that there are several issues that remain to be addressed satisfactorily. One such issue is the diversity and the number of solutions available to the decision maker.
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EncryptionTool
Multi purpose encryption tool.
Can check password strength. Encrypt text files with SHA1 & MD5 hash algorithms using AES encryption system. Using a given buffer size for reading and writing and a procentage of the said buffer for encryption, memory and cpu usage optimization can be achieved. -
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ACADO Toolkit
Toolkit for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization... -
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Single header, templatized epxression tree. Assign functors to branches and values to leaves, then call evaluate(). Requires C++11's function<T>. Optional multi-threaded evaluation is dependent on header <future>.
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Software for optimization of multi modal, multi dimensional functions based on SOMA algorithm. Program is implemented on top of hadoop, and is especially well suited for functions with high computational times because of its distributed nature.
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Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixed integer problems.
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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GENIAL is a C++ library for signal and image processing. It uses template-generic techniques, multi threading, cache optimization and SIMD instructions for Pentium (MMX, SSE, SSE2, SSE3) to achieve high performance: FFT,DCT,Convolution,Linear Algebra...
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A script(ing/ed/able) optimizing compiler for the C and Objective-C languages (and in the future other languages such as C++, D and Java). Written in a scripting language to allow for experimentation with code generation and optimization techniques.
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produce full software package using the binary decision diagram (BDD) representation to manipulate logic maps for design optimization objectives multiplyer{like(A+B)(C)(D)}In C++ Core.C++ GUI.VB6 Verilog Modules Quin McCluskey Multi Functions Operations
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Squeezer is a multi-dimensional logfile analyzer for Squid web cache server. It measures transfer speed from Squid, source servers and other caches and gives an information useful for tuning Squid and web cache hierarchy or mesh.
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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.
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PyOptFrame-LEGACY
PyOptFrame-LEGACY is Python OptFrame v2. Newest version v5 on github.
PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022). -
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HyperSim is a Navier-Stokes and Maxwell equations solver. It use the same method-"finite volume" to solve fluid and electromagnetic field. This technique could sharing the same mesh for simulation and make the multi-discipline optimization design possi
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30%... -
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Kimi K2.6
Multimodal agent model for coding, orchestration, and autonomy
Kimi K2.6 is an open-source native multimodal agentic model built for advanced autonomous execution, long-horizon coding, and large-scale task orchestration. It is designed to handle complex end-to-end software workflows across multiple languages and domains, including front-end development, DevOps, performance optimization, and coding-driven design. Beyond coding, it can transform prompts and visual inputs into production-ready interfaces and lightweight full-stack outputs with structured...
