Hybrid Bat Algorithm for Parameter Identification of anE. ColiCultivation Process Model
نویسندگان
چکیده
منابع مشابه
A Hybrid Algorithm for Parameter Tuning in Fuzzy Model Identification
Parameter tuning is an important step in automatic fuzzy model identification from sample data. It aims at the determination of quasi-optimal parameter values for fuzzy inference systems using an adequate search technique. In this paper, we introduce a new hybrid search algorithm that uses a variant of the cross-entropy (CE) method for global search purposes and a hill climbing type approach to...
متن کاملA hybrid bat algorithm
Iztok Fister Jr.,∗ Dušan Fister,† and Xin-She Yang‡ Abstract Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat algorithm is hybridized with differential evolution strategies. Besides showing very promising results of the standard benchmark functions, this hybridiz...
متن کاملCuckoo Search Algorithm for Model Parameter Identification
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...
متن کاملA Hybrid Genetic Algorithm for Parameter Identification of Bioprocess Models
In this paper a hybrid scheme using GA and SQP method is introduced. In the hybrid GA-SQP the role of the GA is to explore the search place in order to either isolate the most promising region of the search space. The role of the SQP is to exploit the information gathered by the GA. To demonstrate the usefulness of the presented approach, two cases for parameter identification of different comp...
متن کاملHybrid PSO-Complex Algorithm Based Parameter Identification for a Composite Load Model
This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biotechnology & Biotechnological Equipment
سال: 2013
ISSN: 1310-2818,1314-3530
DOI: 10.5504/bbeq.2013.0089