Metaheuristic-Based Design and Optimization of Chemical Reactors: A Comprehensive Survey

Authors

  • Trayambak Rai1 * 1 School of Computer Engineering, KIIT (Deemed to Be) University, Bhubaneswar-751024, Odisha, India., School of Computer Engineering, India.
  • Kuan Mo2 2 Department of Earth and Environmental Sciences, Brooklyn College, State University of New York, New York, USA., Department of Earth and Environmental Sciences, USA.

https://doi.org/10.48313/maa.vi.84

Abstract

This paper presents a comprehensive review of metaheuristic optimization in chemical process engineering over the period 2000-2025. We systematically analyze the literature on metaheuristic algorithms and their applications to process design, reactor optimization, distillation, separation, contro. The review covers approximately 179 papers, providing a structured taxonomy of algorithms, applications, and evaluation methodologies. We identify key trends including the shift toward hybrid approaches, integration of machine learning, and growing emphasis on explainability. The survey reveals that nonlinear dynamics, safety constraints, multi-objectivity, real-time r remain significant open problems. We provide detailed analysis of evaluation protocols, benchmark suites, and statistical methodologies. Future research directions include hybrid algorithm design, quantum-inspired methods, and standardized benchmarking frameworks.

Keywords:

metaheuristic optimization; chemical_eng; review; survey; process design, reactor optimization, di

Published

2026-01-04

Issue

Articles in Press

Section

Articles

How to Cite

Trayambak Rai1, & Kuan Mo2. (2026). Metaheuristic-Based Design and Optimization of Chemical Reactors: A Comprehensive Survey. Metaheuristic Algorithms With Applications. https://doi.org/10.48313/maa.vi.84