14 research outputs found
NASA Tech Briefs, August 1994
Topics covered include: Computer Hardware; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences; Books and Reports
Application of Multi-Agent Systems and Particle Swarm Optimization Algorithm for Flexible Process Planning
Sistemi zasnovani na agentima primenju se za razvoj društvenih, bioloških i tehničkih sistema. U domenu tehničkih sistema, svoju primenu nalaze i u rešavanju problema optimizacije savremenih tehnoloških sistema. U radu je predstavljena razvijena multiagentna metodologija za optimalno projektovanje tehnoloških procesa obrade dela. Predložena multiagentna arhitehtura se sastoji od četiri agenta: agent za delove, agent za mašine, agent za transport i agent za optimizaciju. Nakon generisanja optimalnih tehnoloških procesa primenom biološki inspirisanog algoritma na bazi inteligencije roja čestica, u AnyLogic softverskom paketu je izvršena simulacija primenom razvijenih agenata. Eksperimentalni rezultati pokazuju opravdanost primene predložene metodologije u simuliranom modelu tehnološkog okruženja.Agent based systems have been used for the development of social, biological, and technical systems. In the domain of technical systems, they are widely applied in optimization problems of modern manufacturing systems. This paper presents multi-agent methodology for optimal process planning. The proposed multi-agent architecture consists of four intelligent agents: job/part agent, machine agent, transport agent, and optimization agent. After generation of
optimal process plans, agent based simulation was performed using AnyLogic software. Use of applied method has been justified by experimental results in simulated model of manufacturing environment
Application of Multi-Agent Systems and Particle Swarm Optimization Algorithm for Flexible Process Planning
Sistemi zasnovani na agentima primenju se za razvoj društvenih, bioloških i tehničkih sistema. U domenu tehničkih sistema, svoju primenu nalaze i u rešavanju problema optimizacije savremenih tehnoloških sistema. U radu je predstavljena razvijena multiagentna metodologija za optimalno projektovanje tehnoloških procesa obrade dela. Predložena multiagentna arhitehtura se sastoji od četiri agenta: agent za delove, agent za mašine, agent za transport i agent za optimizaciju. Nakon generisanja optimalnih tehnoloških procesa primenom biološki inspirisanog algoritma na bazi inteligencije roja čestica, u AnyLogic softverskom paketu je izvršena simulacija primenom razvijenih agenata. Eksperimentalni rezultati pokazuju opravdanost primene predložene metodologije u simuliranom modelu tehnološkog okruženja.Agent based systems have been used for the development of social, biological, and technical systems. In the domain of technical systems, they are widely applied in optimization problems of modern manufacturing systems. This paper presents multi-agent methodology for optimal process planning. The proposed multi-agent architecture consists of four intelligent agents: job/part agent, machine agent, transport agent, and optimization agent. After generation of
optimal process plans, agent based simulation was performed using AnyLogic software. Use of applied method has been justified by experimental results in simulated model of manufacturing environment