Bioprocess control and optimization are crucial for tapping the metabolic potential of
microorganisms, and which have made great progress in the past decades. Combination of …

Differential evolution (DE), belonging to the evolutionary algorithm class, is a simple and
powerful optimizer with great potential for solving different types of synthetic and real-life …

In this study, strength of evolutionary computational intelligence based on genetic algorithms
(GAs) is exploited for parameter identification of nonlinear Hammerstein controlled …

Computational Intelligence methods, which include Evolutionary Computation and Swarm
Intelligence, can efficiently and effectively identify optimal solutions to complex optimization …

Eversa® Transform 2.0 lipase used as biocatalyst to biodiesel (fatty acid methyl esters–
FAME) synthesis has been the target of interesting studies due to its thermostability and cost …

The optimization of the feeding trajectories in fed-batch fermentation processes is a complex
problem that has gained attention given its significant economical impact. A number of bio …

Acquiring a functional comprehension of the deregulation of cell signaling networks in
disease allows progress in the development of new therapies and drugs. Computational …

Many key problems in computational systems biology and bioinformatics can be formulated
and solved using a global optimization framework. The complexity of the underlying …

An enhanced scatter search (eSS) with combined opposition-based learning algorithm is
proposed to solve large-scale parameter estimation in kinetic models of biochemical …

In this quick study, we estimated the Weibull distribution's parameters using wind data
collected between March 2017 and January 2018 using a twelve-meter mast meteorological …