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Adaptive Evolutionary Computation for Nonlinear Hammerstein Control Autoregressive Systems with Key Term Separation Principle

Autor: Faisal Altaf, Ching-Lung Chang, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Khalid Mehmood Cheema, Chi-Min Shu, Ahmad H. Milyani

Publikováno v: Mathematics, Vol 10, Iss 6, p 1001 (2022)

The knacks of evolutionary and swarm computing paradigms have been exploited to solve complex engineering and applied science problems, including parameter estimation for nonlinear systems. The population-based computational heuristics applied for pa

Externí odkaz: https://doaj.org/article/962bc8762f0c4567a6c7221f1a2a1de6

Intelligent Drone Positioning via BIC Optimization for Maximizing LPWAN Coverage and Capacity in Suburban Amazon Environments

Autor: Araújo, Flávio Henry Cunha da Silva Ferreira, Miércio Cardoso de Alcântara Neto, Fabrício José Brito Barros, Jasmine Priscyla Leite de

Publikováno v: Sensors; Volume 23; Issue 13; Pages: 6231

This paper aims to provide a metaheuristic approach to drone array optimization applied to coverage area maximization of wireless communication systems, with unmanned aerial vehicle (UAV) base stations, in the context of suburban, lightly to densely

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::948a053a8c4d285cd69e1444297b4d4f

Automated compositions: artificial intelligence aided conceptual design explorations in architecture

Autor: Milošević, Jelena, Đukanović, Ljiljana, Živković, Milijana, Žujović, Maša, Gavrilović, Marko

Publikováno v: Proceedings: Geometry, graphics and design in the digital age, The 9th International Scientific Conference on Geometry and Graphics MoNGeometrija 2023

The paper focuses on the challenges of the relationship between architecture and artificial intelligence (AI), in particular, the potential of this technology to support architects' creative design processes in the form of augmented intelligence. Con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9445::86a32203c63597db9396ea32fc162d71
https://hdl.handle.net/21.15107/rcub_raf_1282

Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism

Autor: Liping Zhu, Song-Ju Kim, Masahiko Hara, Masashi Aono

Publikováno v: Royal Society Open Science, Vol 5, Iss 12 (2018)

Choosing a better move correctly and quickly is a fundamental skill of living organisms that corresponds to solving a computationally demanding problem. A unicellular plasmodium of Physarum polycephalum searches for a solution to the travelling sales

Externí odkaz: https://doaj.org/article/ad73d8cf29044df1ac19b79e18c28fb3