metaheuristic-optimization

Particle Swarm Optimization, Grey Wolf Optimizer and Genetic Algorithm Optimizers for Controller Tuning and Optimization.

FAEICA-Algorithm (Fuzzy adaptive optimisation method)

This repository contains an implementation of the Ant Lion Optimizer (ALO), a nature-inspired algorithm used for solving optimization problems by simulating the interaction between ants and lions.

BSSA-Bear Smell Search Algorithm matlab code

Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).

A list of metaheuristics and links to their respective papers.

This repository contains Modified Particle Swarm Optimization (MPSO) algorithm integration with Fitness Distance Balance (FDB) method.

Hybrid ANN optimized with a custom Hyperbolic Secant Levy-Flights Grey Wolf Optimizer (HSLFGWO) for airfoil self-noise prediction, benchmarked against 12+ metaheuristics on the NASA/UCI dataset.

Reproducible research artefact for QoE- and fairness-aware MEC task offloading, with paired experiments, ablations, sensitivity studies, and statistical analysis.

Tactical Agentic Literature Orchestration System

Comparative study of metaheuristic optimization algorithms for PI controller tuning under realistic constraints, using exhaustive search as a reference baseline.

A lightweight python library for metaheuristic optimization.

FSSFO-based computationally efficient wrapper feature selection for software defect prediction using NASA/PROMISE datasets and multiple classifiers.

A high-performance memetic graph coloring solver for challenging DIMACS benchmark instances.

Academic study on metaheuristic feature selection and machine learning optimization for SONAR signal classification using open datasets.

Ant Lion Optimizer adapted for permutation optimization — faithfully mirrors Mirjalili (2015) while solving the classic Flow Shop Scheduling Problem.

The Minimum Graph Coloring Problem using exact algorithms along with heuristics and metaheuristics.

Metaheuristics for Optimization/Decision Problems

A implementation for solving the eight queens problem with genetic algorithm and stochastic hill climbing

Hybrid Grey Wolf–Harris Hawks metaheuristic optimization algorithm (undergraduate graduation project) — validated on CEC2017 benchmarks and applied to real-world smart energy management scheduling using NASA POWER & EPİAS data.