By Jayaraman Valadi, Patrick Siarry
Metaheuristics express fascinating houses like simplicity, effortless parallelizability and prepared applicability to types of optimization difficulties akin to genuine parameter optimization, combinatorial optimization and combined integer optimization. they're hence starting to play a key position in numerous industrially vital strategy engineering functions, between them the synthesis of warmth and mass alternate apparatus, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors.
This booklet explains state-of-the-art examine strategies in similar computational intelligence domain names and their purposes in real-world technique engineering. it is going to be of curiosity to commercial practitioners and examine academics.
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Multiobjective optimization of a semibatch epoxy polymerization process using the elitist genetic algorithm. Ind. Eng. Chem. Res. 43(19), 6055–6063 (2004) 166. : Removal and recovery of organic solvents from aqueous waste mixtures by extractive and pressure swing distillation. Ind. Eng. Chem. Res. 51(35), 11473–11481 (2012) 167. : A genetic algorithm for generating initial parameter estimations for kinetic models of catalytic processes. Comput. Chem. Eng. 20(10), 1257–1270 (1996) 168. : Multiobjective optimization of multipurpose batch plants using superequipment class concept.
Lu et al.  proposed a combination of PSO and robust eigenvalue assignment method for the process design under uncertainty. Zhang et al.  proposed DE algorithm to solve the parameter estimation problems for modeling vapor–liquid equilibrium data. Qian et al.  proposed a hybrid methodology based on GA and PSO integrating the concept of search region reduction for dynamic optimization in an ethylene oxide hydration reactor. Dai and Wang  propose a hybrid DNA-based GA for solving parameter estimation problems of dynamic systems.
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