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Investment costs optimization of multi-robot system using genetic algorithm
2012
Komasilovs, V., Latvia Univ. of Agriculture, Jelgava (Latvia)
Forethought deployment of an industrial production system is a significant step towards improving economic benefit of an industrial company. The author proposes the procedure for finding an optimal specification of multirobot system, which considers it on the level of components of the robotic system. Components are grouped into mobile or stationary units of the system. A set of agents is considered as a solution for particular mission, it defines a specification of a heterogeneous multi-robot system. The paper presents the concept of the optimization procedure and describes the implementation of investment costs optimization step, which uses genetic algorithm.
اظهر المزيد [+] اقل [-]The use of artificial intelligence by students of Information Technology programmes
2024
Sergejeva, Natalija | Vronska, Natalja | Briede, Baiba | Samuilik, Inna
The use of artificial intelligence (AI) tools in university education is a phenomenon of various directions: the potential of AI tools, skills, purpose and sense of usage. Each direction is worth of working out and introducing regulatory systems and deeper investigating users’ choice and managing the process of getting, navigating and creating information by means of AI. Therefore, one of the emerging scientific challenges is students’ abilities and personalised learning experience in the use of AI. The study is focused on the usage of AI in specific courses, and namely the students of Information Technology (IT) programmes from Latvia University of Life Sciences and Technologies (LBTU) and Riga Technical University (RTU). The aim of the study is to investigate the students’ ability, need and merit to use AI in learning numerical methods, mathematics and programming. The main data collection method used is a student survey. According to the main results, it is found out that respondents when solving the programming tasks sometimes used AI, while solving mathematical tasks respondents rarely used AI. AI actually did not help to solve the mathematical tasks, while it partly helped to solve the programming tasks. The use of AI partly helped the respondents to improve the knowledge and skills of programming. Acquiring the study course Numerical Methods respondents mainly used ChatGPT, but performing practical works respondents mostly did not use AI.
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