315 skills found · Page 1 of 11
guofei9987 / Scikit OptGenetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
MaxHalford / Eaopt:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
fcampelo / EC BestiaryA bestiary of evolutionary, swarm and other metaphor-based algorithms
HaaLeo / SwarmlibThis repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
LucXiong / Swarm Intelligence Optimization Algorithm种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正余弦优化算法(Sine Cosine Algorithm, CSA）、烟花算法(Fireworks Algorithm, FA)
Jasonnor / Car SimulatorAutonomous car simulator (based on JavaScript & WebGL) implemented by fuzzy control system, genetic algorithm and particle swarm optimization.
Zihao-Felix-Zhou / UavNetSimUavNetSim: A Python-based simulation platform for designing and testing communication protocols and control algorithms in UAV swarm.
Evolutionary-Intelligence / Pypop[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]
yangzhen0512 / IntelligentOptimizationAlgorithmsThis repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm), PSO (Particle Swarm Optimizer) and so on. And some other algorithms will be appended in the future.
jaswinder9051998 / Zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
cuntou0906 / Route Planninguse some algorithm to solve the Route Planning. Including Genetic Algorithm(GA),Particle Swarm Optimization(PSO),ant colony optimization(ACO).
SISDevelop / SwarmPackagePyLibrary of swarm optimization algorithms.
kyegomez / Swarms PytorchSwarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊
JZX-MY / Pso Global PlannerThis is a ROS Global Planner Plugin that implements the PSO (Particle Swarm Optimization) path planning algorithm.
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
ffelten / CrazyRLJAX and PZ RL envs + algorithms for swarms of CrazyFlies
rameziophobia / Travelling Salesman OptimizationPython implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer
Diptiranjan1 / PSO Vs WOAThe Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.
rlnav / Adaptive SwarmMultiple robots layered path planning algorithm implemented as a ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with real-time obstacle avoidance.
zzycoder / Cooperative Attack Algorithm For UAVsCooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight time and attack angle constraints. It includes an efficient attack framework for real-time planning and control of drones.
