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- W4212825093 endingPage "450" @default.
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- W4212825093 abstract "Bio-inspired optimization techniques (BOT) are part of intelligent computing techniques. There are several BOTs available and many new BOTs are evolving in this era of industrial revolution 4.0. Genetic algorithm, particle swarm optimization, artificial bee colony, and grey wolf optimization are the techniques explored by researchers in the field of food processing technology. Although, there are other potential methods that may efficiently solve the optimum related problem in food industries. In this review, the mathematical background of the techniques, their application and the potential microbial-based optimization methods with higher precision has been surveyed for a complete and comprehensive understanding of BOTs along with their mechanism of functioning. These techniques can simulate the process efficiently and able to find the near-to-optimal value expeditiously." @default.
- W4212825093 created "2022-02-24" @default.
- W4212825093 creator A5001100980 @default.
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- W4212825093 creator A5080422251 @default.
- W4212825093 date "2022-01-01" @default.
- W4212825093 modified "2023-10-09" @default.
- W4212825093 title "Application of bio-inspired optimization algorithms in food processing" @default.
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