EC-GWO: A Hybrid Clustering and Routing Protocol for IoV Leveraging Edge Computing and Bio-inspired Gray Wolf Optimization

[PokerEvent Benchmark Dataset & SNN-ANN Baseline, IEEE TCDS 2025] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Black Hole is an Bio-inspired algorithm. We apply this algorithm to solve the optimization problem in Mobile Cloud Computing for computational offloading

No description available

Natural programming project: Bio-Inspired Computing in Discrete and Continuous Optimization. Includes: ACO min-max, Genetic Algorithm, Simulated Annealing, Concorde, PSO, opt-aiNet, ARIA.

SymbioticAIS(SAIS): A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm (🦎 GECCO 2024 Companion 🏅)

bio-inspired computing course assignments and projects, Fall-2018

Projects of "Bio Inspired Computing" Course - University of Tehran - Spring 2024

Bio inspired computing algorithms & problems (Tehran University👨‍🎓)

Here i'm implementing bio inspired algorithm for virtual machine placement in cloud computing. I'm novice coder.

The intersection of multi-agent systems, bio-inspired computing, and swarm intelligence in the context of the Bee Colony Resource Management and Survival scenario.

"Bio-inspired Network Forming Protocols Design Applied to Vehicular Fog Computing". This is the title of my Bachelor Thesis and you can find here the pdf file and the presentation used at University of Florence in October 2018.

Code related to revolutionary algorithms and neural networks

Using an hybrid Artificial Immune Systems/neighborhood search and a hybrid elitist genetic algorithm/neighborhood search to solve the JSSP.

Projects carried out through my bio-inspired class. Projects include, deep neural networks, fuzzy logic , evolutionary systems and hybrids employing all methods.

This repository contains my Bio-Inspired Computing Projects during University and the projects that I've implemented due to my interest in Bio-Inspired Computing. These projects include l-systems development and bio-inspired optimization methods.

No description available

Bio-Inspired Computing Project #2 - negative selection

The First Bio-Inspired Operating System for Adaptive, Resilient Computing

Bio-Inspired Artificial Intelligence (Evolutionary Computing) Algorithms using Python and Matlab.

Synthetic Biology Meets Neuromorphic Computing: Towards a Bio-Inspired Olfactory Perception System

Bio-Inspired Computing for Sustainable Data Centers: Mimicking Ant Colony Optimization in Energy-Aware Resource Allocation

A set of projects for the most famous bio-inspired algorithms such as genetic or ant colony optimization and obviously neural networks. They are coded by Python at Bio-inspired Computing Course.

A collection of bio-inspired and metaheuristic algorithms applied to various optimization challenges. This repository explores the implementation and performance of nature-inspired computing techniques on complex problems.

Code implementations from the "Evolutionary Processing" course focusing on Genetic Algorithms (GA). Includes Python examples for selection, crossover, mutation, and fitness evaluation. Useful for optimization, scheduling, machine learning, and simulation in bio-inspired computing.

Persistent Anticipation Layer for LLM Agents — Pre-compute possible futures during idle time for faster, cheaper and more proactive decisions. Bio-inspired temporal awareness (short/medium/long-term horizons).

A simple Artificial Bee Colony algorithm library.

R-DKE proposes a machine intelligence architecture for instant deep research, compressing knowledge into meaning and truth graphs. The v2.0 Physarum Edition adds biologically adaptive reasoning — uncertainty as nutrient, knowledge evolving like a living system.

This code is for our Bio-inspired robotics module. The source code for the project is supposed to control a tello drone to takeoff from a rover, take a picture of all aruco markers on the path and compute the path when it lands. After it lands, the coordinates are sent to the rover to move along the path.

This repository contains key software artifacts of the Open-FOAM based CFD framework that computes the drag coefficient of a NACA-0012 airfoil with bio-inspired surface riblets. This package also provides the framework to introduce your own optimization code for minimizing drag by varying the shape of the surface riblets. For further information about the methods underlying this software package, refer to our paper: Lulekar, S. S., Ghassemi, P., Alsalih, H., and Chowdhury, S., An Adaptive-Fidelity Design Automation Framework toExplore Bio-inspired Surface Riblets for Drag Reduction, AIAA Journal. 2020. AIAA. The following sections provide further information on the usage of this software package: