Genetic-Algorithm-Based Optimisation for Exothermic Batch Process

2013 ◽  
pp. 211-217
Author(s):  
M. K. Tan ◽  
H. J. Tham ◽  
K. T. K. Teo
Keyword(s):  
Genetic Algorithm ◽  
Batch Process

scholarly journals Investigation on Evolutionary Computation Techniques of a Nonlinear System

2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Tran Trong Dao
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Simulated Annealing ◽  
Nonlinear System ◽  
Dynamic Behaviour ◽  
Batch Process ◽  
Nonlinear Mathematical Model ◽  
Artificial Intelligent ◽  
Simulation And Optimization ◽  
System A

The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization.

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