6 Result(s)
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Chapter and Conference Paper
Implementing Parallel Differential Evolution on Spark
Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ap...
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Chapter and Conference Paper
A Parallel Differential Evolution Algorithm for Parameter Estimation in Dynamic Models of Biological Systems
Metaheuristics are gaining increased attention as efficient solvers for hard global optimization problems arising in bioinformatics and computational systems biology. Differential Evolution (DE) is one of the ...
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Chapter and Conference Paper
High-Confidence Predictions in Systems Biology Dynamic Models
Obtaining reliable predictions from large-scale dynamic models is a challenging task due to frequent lack of identifiability. This work presents a methodology for obtaining high confidence predictions in biote...
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Chapter and Conference Paper
Multi-Objective Optimization of Biological Networks for Prediction of Intracellular Fluxes
In this contribution, we face the problem of predicting intracellular fluxes using a multi-criteria optimization approach, i.e. the simultaneous optimization of two or more cellular functions. Based on Flux Ba...
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Chapter and Conference Paper
Global Sensitivity Analysis of a Biochemical Pathway Model
Develo** suitable dynamic models of biochemical pathways is a key issue in Systems Biology. Parameter identification is therefore a critical aspect where the analysis of the model identifiability plays an im...
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Chapter and Conference Paper
Global optimization of climate control problems using evolutionary and stochastic algorithms
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondifferentiable economic optimal ...
