Linear programming for optimization operations research problems- minimization-maximization
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Updated
Jan 12, 2025 - Python
Linear programming for optimization operations research problems- minimization-maximization
A series of genetic algorithms in Common Lisp and Racket, evolving from simple to more complex ones
Using the Minimax algorithm, an AI Tic Tac Toe game is implemented.
Simulation of the Secretary Problem
Example of maximization for items list when user is scrolling the page
Profit Maximisation Function using GA
Linear Programming Problem Solver
A modified Traveling Salesman Problem (TSP) optimization where a directed graph tour starting and ending at the first node is chosen so to maximize a custom objective function (net profit)
Enrolls a number of students into classes based on a weighted priority system. Priority is based on number of requested courses, current grade level, and semesters until graduation. Takes a CSV file as input and outputs a CSV file of each student and the courses that they should be enrolled in.
Great repository to learn about particle swarm optimization. It provides the basic tools to automatically for optimization / fitting, etc.
SimplexPy is a compact python library that automatically solves `Linear Programming Equations` i.e Maximization problems, easily and quickly while giving you neat results.
An Evolutionary Algorithm written in JavaScript that can take in any generic module representing a problem to be optimized
A collection of simple Operations Research / Optimization Techniques programs
Lightweight Tool for Genetic Algorithms in Python
SimplexCPP is a c++ library that helps solves `Linear Programming Equations` i.e Maximization problems, easily also providing you with neat results.
Calculating the maximum semi-ellipsoid volume using Reduced Gradient Descent method with total surface area given as a constraint.
A high-performance Base64x32 implementation specialized for maximizing data storage in Minecraft books using numpy vectorized operations.
Python program to solve problems using the simplex method, with options for graphical mode and dual method, addressing both maximization and minimization problems.
Simplex-Method using Bland Rule
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