Search Results for "optimization" - Page 3
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Showing 103 open source projects for "optimization"
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Finds communities in networks with a submodular algorithm based on the optimization of Newman's modularity. The algorithm finds a weakly optimal community partition of the network. Developed by J. R. Busch, M. G. Beiro and J. I. Alvarez-Hamelin,
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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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JBernstein
JBernstein: Exploration techniques for non-linear constraint checking
...It is mainly used in the verification or synthesis of cyber-physical systems where the system model is nonlinear. The tool also supports specifications in assume-guarantee style. The underlying algorithm is based on a translation to Bernstein polynomials, and several optimization techniques are implemented to ensure efficiency. Concerning performance, the tool enables to check all examples in the PVS Bernstein testsuite within a second, which can be an order of magnitude faster than some other tools such as QEPCAD or REDLOG. Although JBernstein uses double, it offers automatic error-estimation capabilities (experimental) so that the generated result is correct (the solver may return unknown when the error-estimate is too large) -
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. -
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Generic optimization of on demand calculation. Generation of C# code for data model and computation code Definition of the xF language IDE: edition of xF project. Excel 2010 Addin available
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Linear Program Solver
Solve linear programming problems
Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming -
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude.
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Large Scale Optimization Templates
C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains: -- Limited Memory Quasi Newton (L-BFSG) -- BFSG -- Conjugate Gradient -- Gradient Descent -- Wolf condition Line Search -- Backtracking Line Search -- Exact Golden Search -- Golden Search with Wolf condition We also distribute a set of tests with the library. -
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metaopt
Optimization toolbox for analyzing metabolic networks
Metaopt contains direct C++ implementations of metabolic analysis methods based on flux optimization. It is mainly developed to solve thermodynamically constrained FBA and FVA (tFVA) efficiently. -
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f2what
Lapack/quadprog QP for VBA/.Net/Java
...It also offers already translated versions of Lapack and quadprog to Java, .Net and VBA, to give access to SVD, LU, QR, Cholesky, eigenvalue decomposition, linear system solving and QP optimization in those three languages. -
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Tcl binding to levmar library implementing Levenberg-Marquardt optimization algorithm often used in data fitting. Levmartcl is a standard Tcl extension providing command interface to levmar functionality. This library is only a wrapper of <levmar> which actually performs the work. See the <levmar> home site for details: http://www.ics.forth.gr/~lourakis/levmar/
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Bouc-Wen-Baber-Noori model of hysteresis
Compute parameters of the Bouc-Wen-Baber-Noori model of hysteresis
...Journal IEEE Transactions on Evolutionary Computation (IEEE-TEC). 2002. Vol. 6. No. 2. pp. 182-197. - Gilberto A. Ortiz, Diego A. Alvarez, Daniel Bedoya-Ruiz. "Identification of Bouc-Wen type models using multi-objective optimization algorithms". Computers & Structures. Vol. 114-115. pp. 121-132. 2013. -
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COAL Project
Convex Optimization Algorithms Library
The Convex Optimization Algorithms Library (COAL) provides a flexible algorithmic framework written in C++, that connects solvers, relying on certain generic properties of a mathematical problem, such as differentiability, linearity, specific constraint forms etc., to applications, whose models exhibit these properties. -
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...MTL consists of pars B - Basic Functions, Matrices, Images, Hypermodels (3d Models and up) N - Numeric Functions ranging from linear regression over nonlinear optimization to singular-value computation I - Image filters and Image enhancement H - Hardware related (optional part), does require additional libraries and is only useful on certain hosts. G - Hyper-Model functions such as ray-plane intersections etc.
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Substitution cipher cracker based on ant colony optimization metaheuristic. Includes GUI. Everything is in czech because this is a school project :(
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OptLib
C nonlinear optimization library
[PROJECT MIGRATED TO GIT-HUB] OptLib is a library of nonlinear optimization routines focused on the use of stochastic methods, including Simulated Annealing, Genetic Algorithms, and Monte Carlo. Routines are parallelized using MPI. -
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Optimizer for External Function Evaluation. Can handle function and least square minimization. Designed for external time consuming simulators (e.g. FEM simulator, Spice simulator). Can define parallel running tasks for gradient and line minimization
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Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
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Yet another library of convex optimization routines; this one works with the GNU scientific library. Focuses on interior point methods for linear programming, second order cone programing and semidefinite programming
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The TreeRank project is a R package implementing a Machine Learning algorithm to build tree-based ranking rules from data with binary labels, based on ROC optimization.
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Experimental C++ library for performing optimized fixed-point operations using types of differing sizes and precisions. Requires C++0x extensions.
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Optimization tool that mimics the darwinian reproduction, selection, mutation process. It has 2 components: the optimization algorithm and an interpretar to define function to optimize and constraints. It is all written in java (netbeans).
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This e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It focuses on Evolutionary Computation but also discusses other apporaches like Simulated Annealing and Extremal Optimization.
