{"id":22432917,"url":"https://github.com/americocunhajr/cross-opt","last_synced_at":"2025-03-27T07:43:17.573Z","repository":{"id":266017969,"uuid":"827554889","full_name":"americocunhajr/CROSS-OPT","owner":"americocunhajr","description":"CROSS-OPT is a Matlab package for optimizing truss structures with the Cross-Entropy method and augmented Lagrangian formulation.","archived":false,"fork":false,"pushed_at":"2024-12-11T16:11:01.000Z","size":20676,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-01T12:46:12.705Z","etag":null,"topics":["augmented-lagrangian","cross-entropy-method","nonconvex-optimization","shape-optimization","simulation-based-optimization","size-optimization","structural-mechanics","structural-optimization"],"latest_commit_sha":null,"homepage":"https://americocunhajr.github.io/CROSS-OPT","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/americocunhajr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-07-11T22:13:35.000Z","updated_at":"2024-12-11T16:11:13.000Z","dependencies_parsed_at":"2025-02-01T12:54:51.544Z","dependency_job_id":null,"html_url":"https://github.com/americocunhajr/CROSS-OPT","commit_stats":null,"previous_names":["americocunhajr/cross-opt"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/americocunhajr%2FCROSS-OPT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/americocunhajr%2FCROSS-OPT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/americocunhajr%2FCROSS-OPT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/americocunhajr%2FCROSS-OPT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/americocunhajr","download_url":"https://codeload.github.com/americocunhajr/CROSS-OPT/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245806111,"owners_count":20675293,"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":["augmented-lagrangian","cross-entropy-method","nonconvex-optimization","shape-optimization","simulation-based-optimization","size-optimization","structural-mechanics","structural-optimization"],"created_at":"2024-12-05T22:13:10.072Z","updated_at":"2025-03-27T07:43:17.553Z","avatar_url":"https://github.com/americocunhajr.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Cross-Entropy Optimization for Truss Structures\n\n**CROSS-OPT: Cross-Entropy Optimization for Truss Structures** is a Matlab package that implements a framework for size and shape structural optimization of truss systems. The package leverages the Cross-Entropy (CE) method for global search optimization and employs an augmented Lagrangian formulation to handle equality and inequality constraints. With some straightforward adaptations, the CROSS-OPT strategy can also be applied to other structural systems and optimization problems. \n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"logo/CROSS-OPTframework.png\" width=\"80%\"\u003e\n\u003c/p\u003e\n\n**CROSS-OPT** uses as optimization tool the package **CEopt - Cross-Entropy Optimizer**, which can be downloaded at \u003ca href=\"https://ceopt.org\" target=\"_blank\"\u003ehttps://ceopt.org\u003c/a\u003e.\n\n### Table of Contents\n- [Overview](#overview)\n- [Features](#features)\n- [Usage](#usage)\n- [Documentation](#documentation)\n- [Reproducibility](#reproducibility)\n- [Authors](#authors)\n- [Citing CROSS-OPT](#citing-cross-opt)\n- [License](#license)\n- [Institutional support](#institutional-support)\n- [Funding](#funding)\n\n### Overview\n**CROSS-OPT** was developed to solve nonconvex optimization problems involving truss structures. The underlying results are reported in the following publication:\nMore details are in the following paper:\n- *M. V. Issa, A. Pereira and A. Cunha Jr, The cross-entropy method for nonconvex structural optimization, 2024 (under review)*\n\nPreprint available \u003ca href=\"https://hal.archives-ouvertes.fr/xxx\" target=\"_blank\"\u003ehere\u003c/a\u003e.\n\n### Features\n- \n\n### Usage\nTo get started with **CROSS-OPT**, follow these steps:\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/americocunhajr/CROSS-OPT.git\n   ```\n2. Navigate to the code directory:\n   ```bash\n   cd CROSS-OPT/CROSS-OPT-1.0\n   ```\n3. To optimize a structure, execute the main file corresponding to your case:\n   ```bash\n   Main_TrussNbars_ObjFuncType_ConstraintType_Solver\n   ```\n\nThis package includes the following files:\n* CEopt -- Cross-entropy solver\n* Main_Truss10_MassMin_YieldStress_CE.m  -- Mass minimization with yield stress constraints for a 10 bars truss using CE\n* Main_Truss10_MassMin_YieldStress_GA.m  -- Mass minimization with yield stress constraints for a 10 bars truss using GA\n* Main_Truss10_MassMin_YieldStress_SPQ.m  -- Mass minimization with yield stress constraints for a 10 bars truss using SQP\n* Main_Truss10_MassMin_YieldStress_BoxPlot.m -- BoxPlot for mass minimization with yield stress constraints for a 10 bars truss\n* Main_Truss10_MassMin_FrequencyBounds_CE.m  -- Mass minimization with frequency constraints for a 10 bars truss using CE\n* Main_Truss10_MassMin_FrequencyBounds_GA.m  -- Mass minimization with frequency constraints for a 10 bars truss using GA\n* Main_Truss10_MassMin_FrequencyBounds_SQP.m  -- Mass minimization with frequency constraints for a 10 bars truss using SQP\n* Main_Truss10_MassMin_FrequencyBounds_BoxPlot.m -- BoxPlot for mass minimization with frequency constraints for a 10 bars truss\n* Main_Truss37_MassMin_FrequencyBounds_CE.m  -- Mass minimization with frequency constraints for a 37 bars truss using CE\n* Main_Truss37_MassMin_FrequencyBounds_GA.m  -- Mass minimization with frequency constraints for a 37 bars truss using GA\n* Main_Truss37_MassMin_FrequencyBounds_SQP.m  -- Mass minimization with frequency constraints for a 37 bars truss using SQP\n* Main_Truss37_MassMin_FrequencyBounds_BoxPlot.m -- BoxPlot for mass minimization with frequency constraints for a 37 bars truss\n\n### Documentation\nThe routines in **CROSS-OPT** are well-commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs. \n\n### Reproducibility\n\nSimulations done with **CROSS-OPT** are fully reproducible, as can be seen on this \u003ca href=\"https://codeocean.com/capsule/xxx\" target=\"_blank\"\u003eCodeOcean capsule\u003c/a\u003e.\n\n### Authors\n- Marcos Vinicius Issa\n- Anderson Pereira\n- Americo Cunha Jr\n\n### Citing CROSS-OPT\nWe ask the code users to cite the following manuscript in any publications reporting work done with our code:\n- *M. V. Issa, A. Pereira and A. Cunha Jr, The cross-entropy method for nonconvex structural optimization, 2024 (under review)*\n\n```\n@article{Issa2024CROSS-OPT,\n   author  = {M. V. Issa and A. Pereira and A {Cunha~Jr}},\n   title   = {The cross-entropy method for nonconvex structural optimization},\n   journal = {Under Review},\n   year    = {2024},\n   volume  = {~},\n   pages   = {~},\n   doi    = {~},\n}\n```\n\n### License\n**CROSS-OPT** is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.\n\n\u003cimg src=\"logo/mit_license_red.png\" width=\"10%\"\u003e \n\n### Institutional support\n\n\u003cimg src=\"logo/logo_uerj_color.jpeg\" width=\"10%\"\u003e \u0026nbsp; \u0026nbsp; \u003cimg src=\"logo/logo_pucrio_color.jpg\" width=\"07%\"\u003e\n\n### Funding\n\n\u003cimg src=\"logo/cnpq.png\" width=\"20%\"\u003e \u0026nbsp; \u0026nbsp; \u003cimg src=\"logo/capes.png\" width=\"10%\"\u003e  \u0026nbsp; \u0026nbsp; \u0026nbsp; \u003cimg src=\"logo/faperj.jpg\" width=\"20%\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famericocunhajr%2Fcross-opt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famericocunhajr%2Fcross-opt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famericocunhajr%2Fcross-opt/lists"}