Dynamic Optimization of Chemical Processes using Ant Colony Framework

Ant colony framework is illustrated by considering dynamic optimization of six important bench marking examples. This new computational tool is simple to implement and can tackle problems with state as well as terminal constraints in a straightforward fashion. It requires fewer grid points to reach the global optimum at relatively very low computational effort. The examples with varying degree of complexities, analyzed here, illustrate its potential for solving a large class of process optimization problems in chemical engineering.

[1]  M. F. Cardoso,et al.  Nonequilibrium simulated annealing : a faster approach to combinatorial minimization , 1994 .

[2]  Urmila M. Diwekar,et al.  Optimal Design of Heat Exchangers: A Genetic Algorithm Framework , 1999 .

[3]  Kok Lay Teo,et al.  Control parametrization: A unified approach to optimal control problems with general constraints , 1988, Autom..

[4]  Costas J. Spanos,et al.  Advanced process control , 1989 .

[5]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[6]  Marco Dorigo,et al.  AntNet: Distributed Stigmergetic Control for Communications Networks , 1998, J. Artif. Intell. Res..

[7]  B. P. Yeo.  A modified quasilinearization algorithm for the computation of optimal singular control , 1980 .

[8]  V. K. Jayaraman,et al.  Ant colony framework for optimal design and scheduling of batch plants , 2000 .

[9]  Marco Dorigo,et al.  Distributed Optimization by Ant Colonies , 1992 .

[10]  R. Luus.  Optimal control by dynamic programming using systematic reduction in grid size , 1990 .

[11]  O. A. Asbjornsen,et al.  Simultaneous optimization and solution of systems described by differential/algebraic equations , 1987 .

[12]  D. J. Gunn,et al.  Mass transport and chemical reaction in multifunctional catalyst systems , 1965 .

[13]  In-Beum Lee,et al.  A genetic algorithm for scheduling of multi-product batch processes , 1998 .

[14]  V. K. Jayaraman,et al.  Ant Colony Approach to Continuous Function Optimization , 2000 .

[15]  L. Gladden,et al.  Development of a Genetic Algorithm for Molecular Scale Catalyst Design , 1997 .

[16]  Eric S. Fraga,et al.  Mass exchange network synthesis using genetic algorithms , 1998 .

[17]  William R. Cluett,et al.  A comparison of collocation methods for solving dynamic optimization problems , 1995 .

[18]  Jeffery S. Logsdon,et al.  Accurate solution of differential-algebraic optimization problems , 1989 .

[19]  S. A. Dadebo,et al.  Dynamic optimization of constrained chemical engineering problems using dynamic programming , 1995 .