Particle Swarm Optimization, Grey Wolf Optimizer and Genetic Algorithm Optimizers for Controller Tuning and Optimization.
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Updated
Nov 20, 2022 - MATLAB
Particle Swarm Optimization, Grey Wolf Optimizer and Genetic Algorithm Optimizers for Controller Tuning and Optimization.
FAEICA-Algorithm (Fuzzy adaptive optimisation method)
BSSA-Bear Smell Search Algorithm matlab code
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.
Demonstration of Particle Swarm Optimization (Auto Hyperparameter variant).
k-Alternatives is a stochastic search algorithm designed to optimize combinatorial problems by exploring controlled deviations from a heuristic baseline. Originally designed for the Traveling Salesperson Problem (TSP), the architecture has been generalized to solve other optimization problems, such as the Knapsack Problem.
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.
Reproducible research artefact for QoE- and fairness-aware MEC task offloading, with paired experiments, ablations, sensitivity studies, and statistical analysis.
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.
Tactical Agentic Literature Orchestration System
Medical image classification pipeline unifying chest X-ray, brain MRI, and endoscopy datasets: a MobileNet feature extractor with a metaheuristic (chain foraging/cyclone) search over inception-block kernel sizes plus a ConvLSTM head, benchmarked against a non-metaheuristic baseline.
A lightweight python library for metaheuristic optimization.
Ant Lion Optimizer adapted for permutation optimization — faithfully mirrors Mirjalili (2015) while solving the classic Flow Shop Scheduling Problem.
Academic study on metaheuristic feature selection and machine learning optimization for SONAR signal classification using open datasets.
Reproducibility package for a split-aware evaluation of a Lionfish-tuned CNN-LSTM-GRU-Attention model across three IoHT intrusion-detection benchmarks.
A high-performance memetic graph coloring solver for challenging DIMACS benchmark instances.
Comparative study of metaheuristic optimization algorithms for PI controller tuning under realistic constraints, using exhaustive search as a reference baseline.
Hybrid Bees Algorithm with adaptive neighborhood control and 2-opt / lightweight 3-opt-style local search for the Traveling Salesman Problem, compared with BA, ACO, GA, and PSO on six TSPLIB instances
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