Memetic algorithms and memetic computing optimization: A literature review

F Neri, C Cotta - Swarm and Evolutionary Computation, 2012 - Elsevier
Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

[HTML][HTML] COPASI and its applications in biotechnology

FT Bergmann, S Hoops, B Klahn, U Kummer… - Journal of …, 2017 - Elsevier
COPASI is software used for the creation, modification, simulation and computational
analysis of kinetic models in various fields. It is open-source, available for all major platforms …

[图书][B] Handbook of memetic algorithms

F Neri, C Cotta, P Moscato - 2011 - books.google.com
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Benchmarking optimization methods for parameter estimation in large kinetic models

AF Villaverde, F Fröhlich, D Weindl, J Hasenauer… - …, 2019 - academic.oup.com
Motivation Kinetic models contain unknown parameters that are estimated by optimizing the
fit to experimental data. This task can be computationally challenging due to the presence of …

MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics

JA Egea, D Henriques, T Cokelaer, AF Villaverde… - BMC …, 2014 - Springer
Background Optimization is the key to solving many problems in computational biology.
Global optimization methods, which provide a robust methodology, and metaheuristics in …

Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization

X Chen, C Mei, B Xu, K Yu, X Huang - Knowledge-Based Systems, 2018 - Elsevier
Optimal design and control of industrially important chemical processes rely on dynamic
optimization. However, because of the highly constrained, nonlinear, and sometimes …

Parameter estimation and uncertainty quantification for systems biology models

ED Mitra, WS Hlavacek - Current opinion in systems biology, 2019 - Elsevier
Mathematical models can provide quantitative insights into immunoreceptor signaling, and
other biological processes, but require parameterization and uncertainty quantification …

Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy

DR Penas, P González, JA Egea, R Doallo… - BMC …, 2017 - Springer
Background The development of large-scale kinetic models is one of the current key issues
in computational systems biology and bioinformatics. Here we consider the problem of …

Time-scale modeling and optimal control of freeze–drying

E Lopez-Quiroga, LT Antelo, AA Alonso - Journal of Food Engineering, 2012 - Elsevier
Freeze–drying is considered to be an attractive dehydration method of preserving the quality
of high value foods products. Unfortunately, it is an expensive operation, which calls for …

A comprehensive review on scatter search: techniques, applications, and challenges

M Kalra, S Tyagi, V Kumar, M Kaur… - Mathematical …, 2021 - Wiley Online Library
Recent years have witnessed the use of metaheuristic algorithms to solve the optimization
problems that usually require extensive computations and time. Among others, scatter …