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Application of bio-inspired optimization algorithms in food processing.

Tanmay Sarkar1, Molla Salauddin2, Alok Mukherjee3

  • 1Department of Food Processing Technology, Malda Polytechnic, West Bengal State Council of Technical Education, Malda, 732102, West Bengal, India.

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Summary
This summary is machine-generated.

Bio-inspired optimization techniques (BOT) offer intelligent computing solutions for industrial revolution 4.0. This review surveys BOTs like genetic algorithms and microbial methods for efficient food processing optimization.

Keywords:
Food industryFood process optimizationMetaheuristicNature-inspired algorithm

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Area of Science:

  • Intelligent Computing
  • Optimization Techniques
  • Food Processing Technology

Background:

  • Bio-inspired optimization techniques (BOT) are advanced computational methods.
  • Numerous BOTs exist, with ongoing development in the Industry 4.0 era.
  • Existing research in food processing technology has explored BOTs such as genetic algorithms, particle swarm optimization, artificial bee colony, and grey wolf optimization.

Purpose of the Study:

  • To provide a comprehensive understanding of BOTs and their mechanisms.
  • To survey the mathematical background and applications of various BOTs.
  • To explore potential microbial-based optimization methods for enhanced precision in food industries.

Main Methods:

  • Literature review of existing bio-inspired optimization techniques.
  • Analysis of mathematical foundations and functional mechanisms of selected BOTs.
  • Survey of applications within food processing technology and potential microbial methods.

Main Results:

  • Identified key BOTs including genetic algorithms, particle swarm optimization, artificial bee colony, and grey wolf optimization.
  • Highlighted the efficiency of BOTs in simulating processes and finding near-optimal solutions.
  • Underscored the potential of microbial-based optimization for higher precision in food industry applications.

Conclusions:

  • BOTs are valuable tools for intelligent computing in Industry 4.0.
  • Further exploration of microbial-based optimization methods could enhance food processing efficiency.
  • BOTs offer rapid simulation and near-optimal solutions for complex industrial problems.