The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.
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Updated
Nov 18, 2021 - Python
The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.
Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development activity and support happen over there.
A spatial optmization library for covering problems.
Algorithm for solving the Hamiltonian cycle problem deterministically and in linear time on all instances of discocube graphs (tested for graphs with over 8 billion vertices). Discocube graphs are 3-dimensional grid graphs derived from: a polycube of an octahedron | a Hauy construction of an octahedron with cubes as identical building blocks...
A long list of .NET (micro) optimizations I've picked up along my development journey ranging from easy method overloads, to niche IL manipulation.
Simulating a Supply Chain using Simpy
Simple 9x9 Sudoku brute force solver with intrinsic parallel candidate set processing using bits to represent digits in the [1, 9] range, and bitwise operations to test a candidate against the candidate set, all at once.
Optimization methods for science and engineering.
ECS-API is a ECS API framework, built to be very performing yet lightweight and easy to use
Implemementação de uma otimização bayesiana aplicada a uma rede neural convolucional.
Optimal Trajectory Generation in the Duckietown Environment
User-friendly management system for graduation students at Brazilian public universities to optimise their choice of classes to take in the upcoming and following semesters, until they graduate.
Combinatorial Optimization problems with quickly good solving.
Interface to Omni-optimizer heuristic by Deb and Tiwari.
Unlimited async operation with python
Optimization Algorithms implemented in Python
Linear Programming Problem Solver
This code has been used in the paper titled: "How Do Machine Learning Models Perform in Predicting the Solution Time for Optimization Problems? Case of Job Shop Scheduling Problem"
Using a neural network model to create a classifier and optimising the model by applying for-loop method.
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