Discrete Optimization Techniques
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Updated
Sep 28, 2023 - C++
Discrete Optimization Techniques
Multiproperty optimization tool for GEMS input parameters
CoolDiff is a C++ 17 library dedicated to compute both automatic as well as symbolic differentiation of mathematical expressions.
Optimization framework library fully written in C++
multi ferramentas para o windows.
Powerful and scalable black-box optimization algorithms for Python and C++.
C++ interface for SIMD instruction sets
A CPU-performance analysis tool based on LLVM, retrieving simulated per-instruction resource utilization over multiple iterations
A toolbox for rapid prototyping of 3D irregular cutting and packing algorithms
A performant and flexible genetic algorithm implemented in C++20/23.
Computer optimization
Derive the optimal cache hit ratio for Internet request traces with variable object sizes.
Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.
OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etMu
Mathematical Modeling for Optimization and Machine Learning
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
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