A generalized cellular automata approach to modeling first order enzyme kinetics

Simulation of First-Order Chemical Kinetics Using Cellular Automata

Cellular automata are dynamical systems composed of arrays of cells that change their states in a discrete manner following local, but globally applied, rules. It is shown that a two-dimensional asynchronous cellular automaton simulates both the deterministic and the stochastic features of first-order chemical kinetic processes in an especially simple manner, avoiding the chore of solving eithe...

Cellular Automata: A Novel Visual Modeling Approach

Many important scientific and engineering problems are studied using Cellular Automata (CA) models. Mathematical formulae with component-based modeling concepts are used to specify CA models. Computer simulation tools support viewing the dynamics of CA simulation models. Existing approaches with their tools are restrictive from visual model development perspective since models must be specified...

A Continuous Cellular Automata Approach to Highway Traffic Modeling

A Cellular Learning Automata (CLA) Approach to Job Shop Scheduling Problem

Job shop scheduling problem (JSSP), as one of the NP-Hard combinatorial optimization problems, has attracted the attention of many researchers during the last four decades. The overall purpose regarding this problem is to minimize maximum completion time of jobs, known as makespan. This paper addresses an approach to evolving Cellular Learning Automata (CLA) in order to enable it to solve the J...

An Approach to Cellular Automata Modeling in Modelica

A new Modelica library, named CellularPDEVS, is introduced in this manuscript. This new library facilitates the description of oneand two-dimensional Cellular Automata (CA) models in Modelica. CellularPDEVS models have been specified using Parallel DEVS. The library has been implemented using the functionality of the DEVSLib library which supports the Parallel DEVS formalism in Modelica. Cellul...