Using Hyperheuristics to Improve the Determination of the Kinetic Constants of a Chemical Reaction in Heterogeneous Phase

被引:1
作者
Cutillas-Lozano, Jose-Matias [1 ]
Gimenez, Domingo [1 ]
机构
[1] Univ Murcia, Dept Informat & Sistemas, E-30001 Murcia, Spain
来源
2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE | 2014年 / 29卷
关键词
Hyperheuristics; Kinetic constants determination; Chemical reaction; GENETIC ALGORITHMS; SCHEMES; SYSTEMS;
D O I
10.1016/j.procs.2014.05.121
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The reaction in the human stomach when neutralizing acid with an antacid tablet is simulated and the evolution over time of the concentration of all chemical species present in the reaction medium is obtained. The values of the kinetic parameters of the chemical reaction can be determined by integrating the equation of the reaction rate. This is a classical optimization problem that can be approached with metaheuristic methods. The use of a parallel, parameterized scheme for metaheuristics facilitates the development of metaheuristics and their application. The unified scheme can also be used to implement hyperheuristics on top of parameterized metaheuristics, so selecting appropriate values for the metaheuristic parameters, and consequently the metaheuristic itself. The hyperheuristic approach provides satisfactory values for the metaheuristic parameters and, consequently, satisfactory metaheuristics for the problem of determining the kinetic constants.
引用
收藏
页码:1345 / 1355
页数:11
相关论文
共 11 条
  • [1] Parameterized Schemes of Metaheuristics: Basic Ideas and Applications With Genetic Algorithms, Scatter Search, and GRASP
    Almeida, Francisco
    Gimenez, Domingo
    Juan Lopez-Espin, Jose
    Perez-Perez, Melquiades
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2013, 43 (03): : 570 - 586
  • [2] [Anonymous], J ENERGY ENV
  • [3] Burke EK, 2010, INT SER OPER RES MAN, V146, P449, DOI 10.1007/978-1-4419-1665-5_15
  • [4] Cutillas-Lozano J.-M., 2013, ICCS
  • [5] Cutillas-Lozano LG, 2012, ADV INTEL SOFT COMPU, V151, P33
  • [6] Genetic algorithms for optimisation of chemical kinetics reaction mechanisms
    Elliott, L
    Ingham, DB
    Kyne, AG
    Mera, NS
    Pourkashanian, M
    Wilson, CW
    [J]. PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2004, 30 (03) : 297 - 328
  • [7] FOGLER HS, 1999, ELEMENTS CHEM ENG RE
  • [8] Linear and non-linear regression analysis for the sorption kinetics of methylene blue onto activated carbon
    Kumar, K. Vasanth
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2006, 137 (03) : 1538 - 1544
  • [9] NUMERICAL-METHODS FOR PARAMETER-ESTIMATION AND OPTIMAL EXPERIMENT DESIGN IN CHEMICAL-REACTION SYSTEMS
    LOHMANN, T
    BOCK, HG
    SCHLODER, JP
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1992, 31 (01) : 54 - 57
  • [10] A comprehensive analysis of hyper-heuristics
    Ozcan, Ender
    Bilgin, Burak
    Korkmaz, Emin Erkan
    [J]. INTELLIGENT DATA ANALYSIS, 2008, 12 (01) : 3 - 23