{"id":25168454,"url":"https://github.com/2gpb/sa-particleswarmoptimization","last_synced_at":"2025-10-19T11:24:29.393Z","repository":{"id":276129190,"uuid":"928307409","full_name":"2Gpb/SA-ParticleSwarmOptimization","owner":"2Gpb","description":"This repository contains an implementation of the Self-Adaptive Particle Swarm Optimization (SA-PSO) algorithm, a dynamic method that adjusts its parameters to optimize problem-solving.","archived":false,"fork":false,"pushed_at":"2025-03-16T12:53:47.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-16T13:33:39.976Z","etag":null,"topics":["nature-inspired","optimization-algorithm","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/2Gpb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-06T12:22:54.000Z","updated_at":"2025-03-16T12:53:50.000Z","dependencies_parsed_at":"2025-02-06T13:39:06.016Z","dependency_job_id":"989ec06b-e31c-4c3f-abd7-ed2127c90920","html_url":"https://github.com/2Gpb/SA-ParticleSwarmOptimization","commit_stats":null,"previous_names":["2gpb/sa-particleswarmoptimization"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2Gpb%2FSA-ParticleSwarmOptimization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2Gpb%2FSA-ParticleSwarmOptimization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2Gpb%2FSA-ParticleSwarmOptimization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/2Gpb%2FSA-ParticleSwarmOptimization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/2Gpb","download_url":"https://codeload.github.com/2Gpb/SA-ParticleSwarmOptimization/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247061891,"owners_count":20877176,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["nature-inspired","optimization-algorithm","python"],"created_at":"2025-02-09T07:17:26.900Z","updated_at":"2025-10-19T11:24:29.261Z","avatar_url":"https://github.com/2Gpb.png","language":"Python","readme":"# SelfAdaptive-ParticleSwarmOptimization (SA-PSO)\n\nThis project implements the Self-Adaptive Particle Swarm Optimization (SA-PSO) algorithm, which combines the concepts of Particle Swarm Optimization (PSO) and Self-Adaptive mechanisms. The main feature of SA-PSO is the dynamic adaptation of the inertia weight w during the optimization process, improving the balance between exploration and exploitation.\n\n### Main Components\n- **Particle Class** — Represents an individual particle with methods to update its velocity, position, and track the best position based on fitness.\n- **SAParticleSwarmOptimization Class** — Manages the swarm, dynamically adjusts the inertia weight, and iteratively updates particles’ positions and velocities to find an optimal solution.\n\n### Getting Started:\nTo run this project, you need to install the required dependencies. You can install them using pip: \n```\npip install -r requirements.txt\n```\n---\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2gpb%2Fsa-particleswarmoptimization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F2gpb%2Fsa-particleswarmoptimization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2gpb%2Fsa-particleswarmoptimization/lists"}