Computational intelligence based design of biomaterials

Computational intelligence based design of biomaterials Arulraj Vinoth, Shubhabrata Datta Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, Tamil Nadu, India. DOI: https://doi.org/10.7494/cmms.2022.4.0799 Abstract: This paper presents an overview of the applications of computational intelligence techniques, viz. artificial neural networks, fuzzy inference systems, and genetic algorithms, for the design of … Read more

Quantum-inspired evolutionary optimization of SLMoS2 two-phase structures

Quantum-inspired evolutionary optimization of SLMoS2 two-phase structures Wacław Kuś1, Adam Mrozek2 1Silesian University of Technology, Gliwice, Poland. 2AGH University of Science and Technology, Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2022.2.0777 Abstract: The paper focuses on applying a Quantum Inspired Evolutionary Algorithm to achieve the optimization of 2D material containing two phases, 2H and 1T, of Molybdenum Disulphide (MoS2). … Read more

Topology optimization of carbon based flat structures using parallel computing

Topology optimization of carbon based flat structures using parallel computing Wacław Kuś1, Adam Mrozek2 1Silesian University of Technology, Poland. 2AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2016.3.0585 Abstract: The optimization algorithms based on global techniques like evolutionary algorithms tend to be time consuming due to a very high number … Read more

Approach for an automatic optimisation of production chain as a tool for intelligent manufacturing in metal forming

Approach for an automatic optimisation of production chain as a tool for intelligent manufacturing in metal forming Adam Legwand, Konrad Perzyński, Łukasz Madej, Maciej Pietrzyk AGH University of Science and Technology, Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2014.1.0476 Abstract: The objective of the paper is development of an automatic system for optimisation of production chains in metalforming. Product … Read more

Sensitivity analysis as a support for optimization of industrial processes

Sensitivity analysis as a support for optimization of industrial processes Danuta Szeliga, Jan Kusiak AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2014.1.0479 Abstract: The problem of optimization of industrial processes consisting of a series of forming operations which define the production cycle, is considered in the paper. Optimization of … Read more

Computer system dedicated to optimization of production processes and cycles in metal forming industry

Computer system dedicated to optimization of production processes and cycles in metal forming industry Łukasz Rauch, Mateusz Skiba, Jan Kusiak AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2014.1.0470 Abstract: The paper presents design and implementation of the computer system dedicated to optimization of production processes and cycles. The system is … Read more

The idea of the optimization strategy for industrial processes

The idea of the optimization strategy for industrial processes Wacław Kuś, Waldemar Mucha Institute of Computational Mechanics and Engineering, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland. DOI: https://doi.org/10.7494/cmms.2014.1.0471 Abstract: The paper is devoted to strategies used in the optimization of processes. The strategy for optimization of a process incorporates modelling with the … Read more

Parametric sensitivity through optimization under uncertainty approach

Parametric sensitivity through optimization under uncertainty approach Kishalay Mitra Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Hyderabad 502205, India. DOI: https://doi.org/10.7494/cmms.2013.1.0418 Abstract: While mimicking a physical phenomenon in a computational framework, there are tuning parameters quite often present in a computational model. These parameters are generally tuned with the experimental data to … Read more

Updated food positions in artificial bee colony algorithm for supply chain management

Updated food positions in artificial bee colony algorithm for supply chain management Tarun Kumar Sharma, Millie Pant Department of Applied Sciences and Engineering, Indian Institute of Technology, Roorkee, India. DOI: https://doi.org/10.7494/cmms.2013.1.0419 Abstract: The present study deals with the management of supply chain using an updated Artificial Bee Colony (ABC) algorithm named UABC. UABC employs a … Read more

Applications of genetic algorithms in nanomaterials science: a short survey of recent results

Applications of genetic algorithms in nanomaterials science: a short survey of recent results Wojciech Paszkowicz Institute of Physics, Polish Academy of Sciences, al. Lotnikow 32/46, 02-668 Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2013.1.0421 Abstract: Global-search procedures are an important element of materials design, processing, and properties determination. Genetic algorithms, a subset of algorithms based on evolutionary computation methods, … Read more