Comparison of the Optimisation Performance of Particle Swarm Optimisation and Genetic Algorithms applied to a Three-Phase Slurry Catalytic Reactor
نویسندگان
چکیده
Swarm Optimisation and Genetic Algorithms applied to a Three-Phase Slurry Catalytic Reactor Mylene C. A. F. Rezende, Caliane B. B. Costa, Delba N. C. Melo, Adriano P. Mariano, Eduardo C. Vasco de Toledo, Rubens Maciel Filho School of Chemical Engineering University of Campinas, UNICAMP P.O. Box 6066, Zip Code 13083-970, Campinas-SP, Brazil E-mail address: [email protected] Petrobras SA, Paulínia Refinery (REPLAN) Rodovia SP 332 Km 132, P.O. Box 1, 13140-000. Paulínia, SPBrazil.
منابع مشابه
An Energy Efficient Control Strategy for Induction Machines Based on Advanced Particle Swarm Optimisation Algorithms
This paper proposes an energy efficient control strategy for an induction machine (IM) based on two advanced particle swarm optimisation (PSO) algorithms. Two advanced PSO algorithms, known as the dynamic particle swarm optimisation (Dynamic PSO) and the chaos particle swarm optimisation (Chaos PSO) algorithms modify the algorithm parameters to improve the performance of the standard PSO algori...
متن کاملOptimization of a three-phase slurry catalytic reactor by Particle Swarm
The Particle Swarm Optimization (PSO) technique was employed to optimize an industrial chemical process characterized by being difficult to be optimized by conventional methods. The chemical process is a three phase catalytic slurry reactor in which the reaction of the hydrogenation of o-cresol producing 2-methyl-cyclohexanol is carried out. The process was represented by a multivariable non-li...
متن کاملComparison of Genetic Algorithms and Particle Swarm Optimisation for Fermentation Feed Profile Determination
In recent years the area of Evolutionary Computation has come into its own. Two of the popular developed approaches are Genetic Algorithms and Particle Swarm Optimisation, both of which are used in optimisation problems. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare th...
متن کاملA New Solution for the Cyclic Multiple-Part Type Three-Machine Robotic Cell Problem based on the Particle Swarm Meta-heuristic
In this paper, we develop a new mathematical model for a cyclic multiple-part type threemachine robotic cell problem. In this robotic cell a robot is used for material handling. The objective is finding a part sequence to minimize the cycle time (i.e.; maximize the throughput) with assumption of known robot movement. The developed model is based on Petri nets and provides a new method to calcul...
متن کاملA Feature-Based Comparison of Evolutionary Computing Techniques for Constrained Continuous Optimisation
Evolutionary algorithms have been frequently applied to constrained continuous optimisation problems. We carry out feature based comparisons of different types of evolutionary algorithms such as evolution strategies, differential evolution and particle swarm optimisation for constrained continuous optimisation. In our study, we examine how sets of constraints influence the difficulty of obtaini...
متن کامل