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Optimization solver

A solver or modeling library for mathematical optimization such as linear, integer, or nonlinear programming.

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15

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Science and math

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  1. readme: portable software suite for solving combinatorial optimization problems.

  2. readme: This is a constrained global optimization package built upon bayesian inference and gaussian processes, that attempts to find the maximum value of an unknown function in as few iterations as possible.

  3. readme: Just import the `GA_TSP`, it overloads the `crossover`, `mutation` to solve the TSP

  4. readme: * Multi-objective optimisation (NSGA-II, NSGA-III, SPEA2, MO-CMA-ES)

  5. readme: CVXPY is a Python-embedded modeling language for convex optimization problems.

  6. readme: The constraint solver in OptaPlanner optimizes planning and scheduling problems, such as vehicle routing, employee rostering, task assignment, and school timetabling.

  7. readme: BoTorch is a library for Bayesian Optimization built on PyTorch.

  8. readme: g2o is an open-source C++ framework for such nonlinear least squares problems.

  9. description: NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  10. readme: This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.

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