{"id":1194,"date":"2019-11-19T09:17:40","date_gmt":"2019-11-19T09:17:40","guid":{"rendered":"https:\/\/www.cpswarm.eu\/?page_id=1194"},"modified":"2019-11-19T09:17:40","modified_gmt":"2019-11-19T09:17:40","slug":"frevo-and-modelio","status":"publish","type":"page","link":"https:\/\/www.cpswarm.eu\/index.php\/frevo-and-modelio\/","title":{"rendered":"FREVO and Modelio"},"content":{"rendered":"<h2><strong>FREVO<\/strong><\/h2>\n<hr>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-776\" src=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/FREVO_logo.png\" alt=\"\" width=\"360\" height=\"122\" srcset=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/FREVO_logo.png 360w, https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/FREVO_logo-300x102.png 300w, https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/FREVO_logo-162x55.png 162w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/p>\n<p>FREVO&nbsp; is an open-source framework to help engineers and scientists in evolutionary design or optimization tasks. FREVO automates the problem setup phase, makes it straightforward to define local intelligence and interactions and performs a search for best fit solutions with genetic algorithms. FREVO is integrated directly into the CPSwarm Workbench.<\/p>\n<p>To download FREVO, please click <a href=\"https:\/\/sourceforge.net\/projects\/frevo\/files\/\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Open-source FREVO components:<\/strong><\/h3>\n<ul>\n<li><em><strong>cDrones:<\/strong><\/em> is a problem component in FREVO. It is a 2D simulated scenario and can be used to study a coverage task where multiple drones fly over a given environment to localize targets. For more detail, please consult this paper &#8216;<a href=\"https:\/\/mobile.aau.at\/publications\/fehervari-2012-emcsr-Evolving%20a%20Team%20of%20Self-organizing%20UAVs%20to%20Address%20Spatial%20Coverage%20Problems.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Evolving a Team of Self-organizing UAVs to Address&nbsp;Spatial Coverage Problems<\/a>&#8216;. Click <a href=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2018\/09\/cDrones.zip\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> to download.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><em><strong>EmergencyExit:<\/strong><\/em> is a problem component in FREVO. Multiple swarm members move in a simple 2D discrete environment and try to find one out of the two emergency exits. In each discrete time step, a member senses the neighboring cells and moves to a free cell. When a member reaches an emergency exit, it is removed from the environment. The goal is that all members exit the environment. For more detail, please consult this paper &#8216;<a href=\"http:\/\/www.scitepress.org\/Papers\/2018\/67311\/67311.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Modelling a CPS Swarm System: a Simple Case Study<\/a>&#8216;. Click <a href=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2018\/09\/EmergencyExit.zip\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> to download.<\/li>\n<\/ul>\n<hr>\n<h2><strong>Modelio<\/strong><\/h2>\n<hr>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-774\" src=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/logo-modelio-v4.png\" alt=\"\" width=\"360\" height=\"86\" srcset=\"https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/logo-modelio-v4.png 360w, https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/logo-modelio-v4-300x72.png 300w, https:\/\/www.cpswarm.eu\/wp-content\/uploads\/2017\/11\/logo-modelio-v4-230x55.png 230w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/p>\n<p>Modelio is an open-source modeling environment which can be extended through modules to add functionalities and services. Modelio is used for all modelling and requirements management within the CPSwarm project.<\/p>\n<p>To download Modelio, please click <a href=\"https:\/\/www.modelio.org\/downloads\/download-modelio.html\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Models in Modelio:<\/strong><\/h3>\n<ul>\n<li><em><strong>Spiderino:<\/strong><\/em> this project is a model of the <a href=\"https:\/\/mobile.aau.at\/publications\/jdeed-2017-Spiderino_low-cost_robot_for_swarm_research_and_educational_purposes.pdf\">Spiderino<\/a>, a robot platform for swarm research. The current model includes a number of modeling elements for sensors, actuators, and communication that serve as input\/output to a behavior. Click <a href=\"http:\/\/forge.modelio.org\/projects\/cpswarm-modelio37\/files\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> to download.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><em><strong>EmergencyExit:<\/strong><\/em>&nbsp;this is a model of a swarm of robots that needs to find an exit in an unmapped environment.&nbsp;The example problem is further used to show the integration of Modelio, a UML\/SysML modeling tool, and FREVO, an optimization tool in the CPSwarm workbench. For more detail, please consult this paper &#8216;<a href=\"http:\/\/www.scitepress.org\/Papers\/2018\/67311\/67311.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Modelling a CPS Swarm System: a Simple Case Study<\/a>&#8216;. Click <a href=\"http:\/\/forge.modelio.org\/attachments\/download\/19897\/EmergencyExitRos.zip\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a> to download<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>FREVO FREVO&nbsp; is an open-source framework to help engineers and scientists in evolutionary design or optimization tasks. FREVO automates the problem setup phase, makes it straightforward to define local intelligence and interactions and performs a search for best fit solutions with genetic algorithms. FREVO is integrated directly into the CPSwarm [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/www.cpswarm.eu\/index.php\/frevo-and-modelio\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1194","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>FREVO and Modelio - cpswarm.eu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cpswarm.eu\/index.php\/frevo-and-modelio\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"FREVO and Modelio - cpswarm.eu\" \/>\n<meta property=\"og:description\" content=\"FREVO FREVO&nbsp; is an open-source framework to help engineers and scientists in evolutionary design or optimization tasks. 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