In this paper, we consider the InterCriteria Analysis (ICrA), which is based on index matrices and intuitionistic fuzzy sets.We demonstrate application of ICrA using software ICrAData.ICrAData implements five different algorithms for relations calculation, namely: µ-biased, Unbiased, ν-biased, Balanced Weighted.The ICrAData displays results in two panels -matrix graphical view, can also be exported various formats: matrices, vectors, graphics.In matrix column data sorted ascending or...

The immense application of mathematical modeling for the improvement bioprocesses determines model development as a topical field. Metaheuristic techniques, especially hybrid algorithms, have become preferred tool in parameter identification. In this study, two efficient ant lion optimizer (ALO), inspired by interaction between antlions and ants trap, genetic algorithm (GA), influenced evolution process natural selection, been hybridized first time. novel ALO-GA aims to balance exploration...

In this investigation recently developed InterCriteria Analysis (ICA) is applied to examine the influences of two main genetic algorithms parameters -crossover and mutation rates during model parameter identification S. cerevisiae E. coli fermentation processes.The apparatuses index matrices intuitionistic fuzzy sets, which are core ICA, used establish relations between investigated parameters, from one hand, process other hand.The obtained results after ICA application analysed towards...

This study introduces a novel mathematical model characterizing the anaerobic co-digestion of wheat straw and waste algal biomass for hydrogen methane production, implemented in two-stage bioreactor system. Co-digestion can be tool to increase biogas production utilizing difficult-to-digest organic by introducing easily degradable substrates. Two continuous operational regimes, with loading rates 50 g/L 33 g/L, were employed generate experimental datasets parameterization validation,...

Osteoporosis is a growing major public health problem with impact that crosses medical, social, and economic lines. It now recognized it extremely important to diagnose osteoporosis before fragility fracture occurs. The purpose of the present study give an example application Generalized Nets in orthopedics traumatology propose novel approach for diagnosing asymptomatic elderly patients.

In the context of climatic change, more severe and long-lasting droughts will modify fitness plants, with potentially worse consequences on relict trees. We have investigated leaf phenotypic (anatomical, physiological biochemical) plasticity in well-watered, drought-stressed re-watered plants two populations

In this paper we apply an approach based on the apparatus of Index Matrices and Intuitionistic Fuzzy Sets -namely InterCriteria Analysis.The main idea is to use Analysis establish existing relations dependencies defined parameters in non-linear model E. coli fed-batch cultivation process.Moreover, results series identification procedures observe mutual between considered optimization techniques outcomes, such as execution time objective function value.Based examine obtained discuss...

In this paper, a hybrid scheme, to solve optimization problems, using Genetic Algorithm (GA) and an Ant Colony Optimization (ACO) is introduced.In the GA-ACO approach, GA used find feasible solutions considered problem.Next, ACO exploits information gathered by GA.This process obtains solution, which at least as good as-but usually better than-the best solution devised GA.To demonstrate usefulness of presented scheme applied parameter identification problem in E. coli MC4110 fedbatch...

In this investigation different algorithms for InterCriteria relations calculation are proposed. The investigated by exploring the influence of genetic parameters on algorithm performance during model parameter identification E. coli fermentation process. Four performing Analysis (ICrA), namely μ-biased, balanced, ν-biased and unbiased, applied. Proposed ICrA compared based real experimental data set an MC4110 fed-batch obtained results show that considered here case study most reliable is...

In combinatorial optimization, the goal is to find optimal object from a finite set.Since such problems are hard be solved, usually some metaheuristics applied.One of most successful techniques for number classes Ant Colony Optimization (ACO).Some start strategies can applied, ACO algorithms, improve their performance.Here, InterCriteria Analysis (ICrA) applied algorithm.On basis ICrA, we examine and analyse performance according different strategies.TABLE III: Criteria pairs-I pairs µ C,C ′...

In this paper we propose a new method for dynamic parameter adaptation in the bat algorithm (BA). BA is metaheuristic inspired by behavior of micro bats, which has been applied to different optimization problems obtaining good results. using Interval Type-2 fuzzy logic. Simulation results show that proposed logic better comparison with Type-1

A modified genetic algorithm is proposed for a parameter identification of an E. coli fed-batch fermentation model. In the simple best chromosome does not always keep on improving in each generation. Obtained good solutions could be destroyed by either crossover or mutation both operations. The aim to prevent this disadvantage. view fact that there no general theory about tuning parameters, some adjustments according regarded problem, are done improve conventional algorithm. simulation...

This paper presents an optimal tuning of a universal digital PID controller using metaheuristics as Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Search (TS). The controllers were used to control the feed rate maintain glucose concentration at desired set point for E. coli MC4110 fed-batch cultivation process. mathematical model process was represented by dynamic mass balance equations biomass substrate. In algorithm design measurement noise well time delay system taken into...

The apparatus of Generalized Nets (GN) is applied here to describe different kinds genetic algorithms (GA). Failure conventional optimization methods lead a satisfied solution in parameter identification non-linear and time-dependent parameters provokes an idea some stochastic be applied. As such (GA), as promising metaheuristic technique, are widely used. Different modifications simple (SGA) have been investigated successfully fermentation processes aiming improve the model accuracy...

Corn steep liquor is a waste product from the process of treating corn grain for starch extraction. It used as substrate in anaerobic digestion with simultaneous hydrogen and methane production cascade two bioreactors. For research optimisation, adequate mathematical models are required. So, authors aim to present high-quality model sequential H2 CH4. This paper proposes technique identifying best using metaheuristics crow search algorithm (CSA). The CSA was applied first time modelling...