Multicriteria optimization of a high yield pulping process with rough sets

Chemical Engineering Science

Volumn 58, Issue 1, 2003, Pages 203-213

  Thibault, Jules ^a   Taylor, David ^a   Yanofsky, Corey ^a   Lanouette, Robert ^b   Fonteix, Christian ^c   Zaras, Kazimierz ^d  

^a UNIVERSITY OF OTTAWA   (Canada)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

^c UNIVERSITÉ DE LORRAINE   (France)

^d UNIVERSITÉ DU QUÉBEC EN ABITIBI TÉMISCAMINGUE   (Canada)

Author keywords

Modelling; Multicriteria optimization; Pareto domain; Pulp and paper process; Rough sets

Indexed keywords

DECISION MAKING; PROCESS CONTROL; ROBUSTNESS (CONTROL SYSTEMS); ROUGH SET THEORY;

PULPING PROCESS;

CHEMICAL PULP;

OPTIMIZATION; PAPER MANUFACTURE; PULP AND PAPER INDUSTRY;

EID: 0037219772     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0009-2509(02)00470-0     Document Type: Article

References (13)

1. Global optimisation by artificial life: A new technique using genetic algorithm population evolution
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5. Status of the utilization of jack pine (Pinus banksiana) in the pulps and paper industry
6. Mechanical system modelling using recurrent neural networks via quasi-Newton learning methods
7. Rough sets
8. Rough set approach to knowledge-based decision support
9. D-optimality for regression designs
10. Multicriteria optimization using a genetic algorithm for determining a Pareto set
11. Stacked generalization