In this paper, the metaheuristics algorithm Cuckoo Search (CS), is adapted and applied for a model parameter identification of an E. coli fed-batch cultivation process. The dynamics of bacteria growth and substrate (glucose) utilization is described by a system of ordinary nonlinear differential equations. Using real experimental data set from an E. coli MC4110 fed-batch cultivation process a p...

Due to global competition in manufacturing industries scenario the conventional machining processes have been replaced by advanced non conventional machining process. Several advanced non-conventional machine tools are available specifically computer numerical control (CNC) turning is the major used machine tool in metal based industries. Now days, due to the increasing demand of the higher pre...

Reentry trajectory optimization is a multi-constraints optimal control problem which is hard to solve. To tackle it, we proposed a new algorithm named CDEN(Constrained Differential Evolution Newton-Raphson Algorithm) based on Differential Evolution(DE) and Newton-Raphson. We transform the infinite dimensional optimal control problem to parameter optimization which is finite dimensional by discr...

in this study, the optimum combination of major factors affecting the acceptability of whey-based ricotta cheese i.e. fat at three levels (0, 5, 10%), salt at three levels (0, 1, 2%), and starter culture at two levels (0, 3%) was determined in a complete randomized design method with a factorial experiment. ricotta cheese trials made by mixing whey and milk in a ratio of 5:1 were then organ...

Support Vector Machines are considered to be excellent patterns classification techniques. The process of classifying a pattern with high classification accuracy counts mainly on tuning Support Vector Machine parameters which are the generalization error parameter and the kernel function parameter. Tuning these parameters is a complex process and Ant Colony Optimization can be used to overcome ...

Numerical simulation technology has been used widely in plastic forming area. However, the simulation of increasingly complex forming process leads to the generation of vast quantities of data, which implies much useful knowledge. Consequently domain knowledge is very significant to product design and process development in metal plastic forming area. The paper presented a new robust optimizati...

In this case study we show how four topography-independent radio models (models not regarding individual obstacles in the operations area) can be “tuned” such that the outcomes of an event-driven network simulator come as close as possible to reference data obtained in a real-world radio network experiment. An evolutionary optimization process was applied to find near optimal parameter values f...

The process of finding working gaits for legged robots always, to different extents, includes manual tuning, systematic search, or optimization of control parameters. This process populates a dataset of control parameter vectors and respective robot behavior factors including body rotations, speed, duty factor, etc. Normally, targeting actuated robots and not simulated ones, these datasets are ...

a method based on electrical capacitance tomography (ect) and an improved least squares support vector machine (ls-svm) is proposed for void fraction measurement of oil-gas two-phase flow. in the modeling stage, to solve the two problems in ls-svm, pruning skills are employed to make ls-svm sparse and robust; then the real-coded genetic algorithm is introduced to solve the difficult problem of ...

Erklärung Hiermit erkläre ich an Eides statt, dass ich die vorliegende Arbeit selbstständig und ohne fremde Hilfe verfasst, andere als die angegebenen Quellen und Hilfsmit-tel nicht benutzt und die aus anderen Quellen entnommenen Stellen als solche gekennzeichnet habe. Abstract 1 Kurzfassung 2 1 Introduction 3 1.