Metaheuristics for finding good Low Autocorrelation Binary Sequences.
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Updated
Feb 26, 2019 - C
Metaheuristics for finding good Low Autocorrelation Binary Sequences.
Projeto final desenvolvido no último ano para obtenção do diploma no Curso de Bachalerado em Ciência da Computação pela Unesp de Bauru.
A collection of artificial intelligence studies and projects.
Some combinatorial optimization algorithms on graphs written in Julia.
Timetable solution for a real-world instance based on the MAX-MIN Ant System and Local Search.
Optimize multiple knapsack problem using reinforcement learning.
Otimizações de build com GA, ES, BA, ACO para Genshin Impact (projeto de computação evolutiva 2021.2)
Мое решение задачи о рюкзаке (NP-полная задача комбинаторной оптимизации) двумя методами. Работа выполнена в качестве практики на втором курсе обучения. Первый метод реализует полный перебор с отсечением проигрышных ветвей (метод ветвей и границ). Второй метод позволяет найти псевдо-решение задачи с любой заданной точностью за полиномиальное вре…
Solution to a scheduling problem based on Google OR-Tools
Maximum Weight Two Stage Spanning Tree
Implementing a Python-based project using computer vision to analyse a wooden beer bottle cap display (shaped like Germany), aiming to correlate bottle caps with their geographic references by minimizing spatial distances between map holes and physical locations.
Exploring using DNNs to cluster graph vertices as heuristics for the Concorde TSP solver
🚚 My Work on the Vehicle Routing Problem
A meta-heuristic for combinatorial optimization inspired by foraging behavior of real ants
Materials for a constraint programming lab session
Algorithm that computes minimal solutions to RLPW
Solving the influence maximization problem with independent cascade diffusion model.
Solving the VLSI problem using various combinatorial optimization technologies
Code for VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphs
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