The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …

A significant number of search and optimisation techniques whose principles seek
inspiration from nature and biology phenomena have been proposed in the last decades …

Meteorological conditions and irrigation amounts are key factors that affect crop growth
processes. Typically, crop growth and development are modeled as a function of time or …

Drought is an enduring abiotic constraint to stable and consistent maize productivity under
climate change, especially for low rainfall regions with limited irrigation. One adaptation for …

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 …

Abstract Model parameters in mechanistic process-based crop models are broadly classified
into general parameters (environmental, management, and parameters related to soil …

Automated calibration is a crucial stage when validating non-linear dynamic systems. The
modeler must control the calibration results and analyze parameter values in an iterative …

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

Industrial bioprocesses development nowadays is concerned with producing chemicals
using yeast, bacteria and therapeutic proteins in mammalian cells. This involves the …