@inproceedings{4e00c48b4c5f4b53bcebeb2c6edc945a,
title = "Benchmark testing of simulated annealing, adaptive random search and genetic algorithms for the global optimization of bioprocesses",
abstract = "This paper studies the global optimisation of bioprocesses employing model-based dynamic programming schemes. Three stochastic optimisation algorithms were tested: simulated annealing, adaptive random search and genetic algorithms. The methods were employed for optimising two challenging optimal control problems of fed-batch bioreactors. The main results show that adaptive random search and genetic algorithms are superior at solving these problems than the simulated annealing based method, both in accuracy and in the number of function evaluations.",
keywords = "Genetic Algorithm, Simulated Annealing, Dynamic Optimization, Stochastic Algorithm, Material Balance Equation",
author = "Oliveira, {Rui Manuel Freitas} and R. Salcedo",
year = "2005",
doi = "10.1007/3-211-27389-1_70",
language = "English",
isbn = "3-211-24934-6",
series = "Springer Computer Science",
publisher = "Springer",
pages = "292--295",
editor = "Bernardete Ribeiro and Albrecht, {Rudolf F.} and Andrej Dobnikar and Pearson, {David W.} and Steele, {Nigel C.}",
booktitle = "Adaptive and Natural Computing Algorithms",
address = "Netherlands",
note = "7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) ; Conference date: 21-03-2005 Through 23-03-2005",
}