In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

Systems biology is an integrative discipline connecting the molecular components within a
single biological scale and also among different scales (eg cells, tissues and organ systems) …

Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …

Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …

Introduced in 1993, the DIRECT global optimization algorithm provided a fresh approach to
minimizing a black-box function subject to lower and upper bounds on the variables. In …

This paper presents a review of the optimization techniques and strategies applied to wind
turbine performance optimization. The topic is addressed by identifying the most significant …

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior
distributions without having to calculate likelihoods. In this paper, we discuss and apply an …

This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …

Nowadays, time-resolved spectroscopy data can be routinely and accurately collected in UV–
vis femtosecond transient absorption spectroscopy. However, the data analysis strategy and …

Systems biology aims to develop mathematical models of biological systems by integrating
experimental and theoretical techniques. During the last decade, many systems biological …