Fish School Search Algorithm python3 implementation

Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)

A Python package to solve Countdown's number round using metaheuristics.

A toolkit for MetaHeuristics implemented in Python

A unpublished package of variant of Quantum-inspired Tabu Search

Solving Knapsack Problem with Binary Particle Swarm Optimization Algortihm

This repository contains 4 metaheuristic search algorithm for optimization

C program that applies metaheuristic simulated annealing to the Travelling Salesman problem.

Travelling Salesman Solution w/ Nearest Neighbor Heuristic

Supply chain manipulation and optimization

Simple Assembly Line Balancing Problem Type 2

Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.

This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.

AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm. Source code for the paper: IEEE SSCI https://ieeexplore.ieee.org/document/9660149

A python library for solving optimization problems using metaheuristic algorithms

Heterogeneous Improved Dynamic Multi-Swarm PSO (HIDMS-PSO) algorithm.

JavaOpt - A Java library for metaheuristic optimization algorithms

Analyzed 64 financial ratios of 6 thousand companies that went bankrupt and built a Logistic Regression classification model to predict bankruptcy. Feature selection is performed with Simulated Annealing to extract the optimal subset of features that maximizes Accuracy rate.