Topic: swarm-intelligence-algorithms Goto Github
Some thing interesting about swarm-intelligence-algorithms
Some thing interesting about swarm-intelligence-algorithms
swarm-intelligence-algorithms,
User: aimanmuhamad
swarm-intelligence-algorithms,The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://aliasgharheidari.com/RUN.html.
User: aliasgharheidaricom
Home Page: https://aliasgharheidari.com/RUN.html
swarm-intelligence-algorithms,Effect of hipster behavior on opinion propagation in a swarm of robots.
User: ameyawagh
swarm-intelligence-algorithms,Stochastic Optimization and Evolutionary Computing Algorithm implementation in python
User: anandi1989
swarm-intelligence-algorithms,A settings-free global optimization method based on PSO and fuzzy logic
User: aresio
swarm-intelligence-algorithms,Detailed Explanation and Implementation of GSO algorithm
User: arijeetsat
swarm-intelligence-algorithms,Dissertation project on analysis of Particle Swarm Optimization Algorithm
User: banerjeesamrat
swarm-intelligence-algorithms,Generating music Midi files with Particle Swarm Optimisation
User: beardedwhale
swarm-intelligence-algorithms,A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The algorithm tries to detect the source(s) of radiation with some robots in the monitoring fields. Each robot has a sensor mounted to detect the radiation concentration. The robots cooperate and communicate with each other to locate the sources based on the sensors readings using concepts from particle swarm optimization algorithm. You can see the attached paper for more detail... [Multiagent Algorithm for finding Multiple Noisy Radiation.pdf](Home_Multiagent Algorithm for finding Multiple Noisy Radiation.pdf)
User: betamoo
swarm-intelligence-algorithms,Swam intelligence for numerical optimization implemented in .NET
User: chen0040
swarm-intelligence-algorithms,Python Implementation of the Swarm Intelligent (SI) Artificial Bee Colony Optimization Algorithm (ABC)
User: chiat27
swarm-intelligence-algorithms,Repository per una collezione di Esercizi ed Esperimenti svolti per il corso di IA (22-23)
User: decioxxiv
swarm-intelligence-algorithms,This repository include implementation of particle swarm optimization (pso) algorithm in C++
User: erfanfathi
swarm-intelligence-algorithms,An implementation of PSO
User: giliardgodoi
swarm-intelligence-algorithms,Evolutionary and Swarm Intelligence algorithms
User: giorgosr
swarm-intelligence-algorithms,Hobbyist Library Combining Machine Learning with Heuristics, Tested Across Supervised and Reinforcement Domains
User: hephyrius
swarm-intelligence-algorithms,Ant Colony Optimization in Julia
User: iasx
swarm-intelligence-algorithms,AGH University of science and technology - Operational Research Labs - Project
User: jan-golda
swarm-intelligence-algorithms,Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems (Applied Soft Computing-2023)
User: lalit212212
Home Page: https://doi.org/10.1016/j.asoc.2023.110329
swarm-intelligence-algorithms,Firefly Algorithm
User: manoelalmeida
swarm-intelligence-algorithms,It's a simple implementation of PSO with Global, Local and Focal topology.
User: manoelalmeida
swarm-intelligence-algorithms,Hyperparameter selection on machine learning models using Particle Swarm Optimization
User: mbayraktar12
swarm-intelligence-algorithms,Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems.
User: miladpayandehh
swarm-intelligence-algorithms,
User: miladpayandehh
swarm-intelligence-algorithms,
User: miladpayandehh
swarm-intelligence-algorithms,The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?"
User: miladpayandehh
swarm-intelligence-algorithms,This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision Science. https://link.springer.com/book/10.1007/978-981-15-3689-2
User: nimishbongale
Home Page: https://link.springer.com/chapter/10.1007/978-981-15-3689-2_6
swarm-intelligence-algorithms,GSA: Gravitational Search Algorithm In Python
User: ravexina
swarm-intelligence-algorithms,Library for global optimization of multiextremal nondifferentiable functions.
User: redb0
swarm-intelligence-algorithms,SwarmboTron is a low budget swarm implementation of real and simulated robots. The swarm is able to work together to achieve a certain goal.
User: remcomusic
Home Page: https://remcomusic.github.io/SwarmboTron/
swarm-intelligence-algorithms,Implementation of Popular Swarm Intelligence Models
User: sarthak268
swarm-intelligence-algorithms,Implementation of the Stochastic Diffusion Search Nature-Inspired Swarm-Intelligence Optimization algorithm to solve the Curse of Dimensionality in Data Science and Machine Learning applications. This is a project for the "Optimization" module of AUTh Computer Science Department.
User: sotirisftiakas
swarm-intelligence-algorithms,A Python implementation of the Dispersive Flies Optimization algorithm, and an implementation to find Steiner systems
User: sraaphorst
swarm-intelligence-algorithms,
User: sudipta-pahar
swarm-intelligence-algorithms,Particle Swarm Optimization Implementation
Organization: swarm-intelligence
swarm-intelligence-algorithms,Particle Swarm Optimization Implementation
Organization: swarm-intelligence
swarm-intelligence-algorithms,Quantum-Behaved Particle Swarm Optimization Algorithm
User: sznczy
swarm-intelligence-algorithms,TensorSwarm: A framework for reinforcement learning of robot swarms.
Organization: tensorswarm
swarm-intelligence-algorithms,IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
User: thieu1995
Home Page: https://intelelm.readthedocs.io
swarm-intelligence-algorithms,A Scala Akka library for swarm intelligence algorithms
Organization: trifectalabs
swarm-intelligence-algorithms,A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose.
User: wandmalfarbe
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