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120 search results found

Ucspy Engine ⭐ 6

An extensible framework for solving the University Course Scheduling Problem. 🐍

Decision Trees ⭐ 6

Simple greedy algorithm (CART limited to a fixed depth) for decision tree construction. Used for the course INF2980 (Metaheuristics) in PUC-Rio.

A set of reusable components for fast prototyping CVRP heuristic solution approaches.

Slime Mould Algorithm A New Method For Stochastic Optimization ⭐ 6

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.

Inveniemus.js ⭐ 6

A search and optimization library, focusing on metaheuristics.

Simple to use genetic algorithm library

Notebooks focused on optimization algorithms that are designed to solve the flowshop problem.

Optimized Delegated Byzantine Fault Tolerance

Research Socioinspiredalgorithms ⭐ 5

Research and statistic study on some Socioinspired Algorithms for my bachelor's thesis.

Evolutionary_ensembles ⭐ 5

📄 Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".

Fast and easy solver for a lot of Vehicle Routing constraints

Scheduling Problem In Operational Research Dynamic Programming Metaheuristic Vns Solutions. ⭐ 5

In this project, I implemented with Python the solutions of the scheduling problem using different methods, the metaheuristic : genetic algorithm and secondly the dynamic programming.

Swarming is a Python3 library that features both parallel and serial implementation of the Particle Swarm Optimization (PSO) algorithm.

Metaheuristics ⭐ 5

The repository I created to help me study for a course of my master :)

Feature Selection Library for Data Sciences in Python

Hybrid Alns ⭐ 5

Hybrid ALNS for solving flat-landscape optimisation problems.

Jobshopscheduling ⭐ 5

Job Shop Scheduling metaheuristics

Paradocks ⭐ 5

Framework for molecular docking with population-based metaheuristics

Machine Learning Hyper-parameter Tuning processes

An Open Source Tabu Search Metaheuristic framework in C++

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