Probabilistic neural network classification for model β-Glucan suspensions
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
WSEAS TRANSACTIONS on SYSTEMS
Applying a genetic algorithms programming to natural cheese products
ACS'08 Proceedings of the 8th conference on Applied computer scince
A genetic algorithms programming application in natural cheese products
WSEAS TRANSACTIONS on SYSTEMS
Evolutionary computation for minimizing makespan on identical machines with mold constraints
WSEAS Transactions on Systems and Control
Multi-objective optimum design of balanced SAW filters using generalized differential evolution
WSEAS TRANSACTIONS on SYSTEMS
Temperature profile in fermenting process using differential evolution
EE'10 Proceedings of the 5th IASME/WSEAS international conference on Energy & environment
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It is regularly to optimization of temperature and feeding profiles in batch process for several objectives and constraints. A temperature profile is applied to drive the process so as to obey certain constraints during the beer fermentation. The design of this temperature profile is an optimization problem where the objective is to minimize the operation time and optimize the quality of beer. In this paper, differential evolutionary computation is exploited to efficiency handle such problems. The proposed approach has been implemented and practical to design temperature profile for beer fermentation process. The results show that differential evolution is a proficient and at ease method to incorporate the prior knowledge of the user into the temperature profile optimization of batch processes.