AIChE Symposium Series, Issue 323 |
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Page 58
... optimization problems . There have been algorithmic advances in such areas as linear programming and integer programming which have now borne fruit in the form of more powerful codes . The advent of modeling languages has made the ...
... optimization problems . There have been algorithmic advances in such areas as linear programming and integer programming which have now borne fruit in the form of more powerful codes . The advent of modeling languages has made the ...
Page 85
... optimization problems that take the form : min f ( x , y ) x , y s.t. h ( x , y ) = 0 g ( x , y ) ≤ 0 X EX CR " ye Y integer , ( 2 ) where x represents a vector of n continuous variables and y is a vector of integer variables . Within ...
... optimization problems that take the form : min f ( x , y ) x , y s.t. h ( x , y ) = 0 g ( x , y ) ≤ 0 X EX CR " ye Y integer , ( 2 ) where x represents a vector of n continuous variables and y is a vector of integer variables . Within ...
Page 135
... optimization problem ( often due to discontinuities in their calculation ) ... problems discussed thus far . Most studies that respond to the challenges in ... optimization be overcome ? Here we can handle nonsmooth problems through ...
... optimization problem ( often due to discontinuities in their calculation ) ... problems discussed thus far . Most studies that respond to the challenges in ... optimization be overcome ? Here we can handle nonsmooth problems through ...
Contents
INVITED PAPERS | 1 |
RECENT DEVELOPMENTS | 21 |
The Web and Flow of Information in Pharmaceutical RD | 23 |
Copyright | |
45 other sections not shown
Common terms and phrases
activities addition AIChE algorithm allow alternatives analysis application approach batch bound calculations changes Chem chemical codes column Comp complex components composition computational concepts considered constraints continuous cost defined described detailed determine distillation dynamic economic effect efficient energy engineering equations equipment et al evaluation example experiments feed Figure Floudas flow flowsheet formulation function given global optimization Grossmann heat important improve increase industry integration involved lifecycle linear material mathematical methods molecular networks nonlinear objective obtained operating parameters particle performance phase plant possible predict presented problem procedure process design process modeling programming properties proposed reaction reactor reduced selection separation shown shows simulation solution solved specific stage step strategy structure synthesis techniques temperature types unit variables