TY - CHAP AU - Friedler, Ferenc AU - Varga, József AU - Feher, E AU - Fan, L T ED - Floudas, C A ED - Pardalos, P M TI - Combinatorially Accelerated Branch-and-Bound Method for Solving the MIP Model of Process Network Synthesis T2 - Nonconvex Optimization and Its Applications, State of the Art in Global Optimization, Computational Methods and Applications PB - Kluwer Academic Publishers CY - Dordrecht SN - 0792338383 PY - 1996 SP - 609 EP - 626 PG - 18 UR - https://m2.mtmt.hu/api/publication/1049662 ID - 1049662 LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Varga, József AU - Fan, L T TI - Decision-Mapping: A Tool for Consistent and Complete Decisions in Process Synthesis JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 50 PY - 1995 IS - 11 SP - 1755 EP - 1768 PG - 14 SN - 0009-2509 DO - 10.1016/0009-2509(95)00034-3 UR - https://m2.mtmt.hu/api/publication/1044845 ID - 1044845 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, H-8201, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :159 Export Date: 16 October 2023 CODEN: CESCA Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-819653 Funding details: Kansas State University, KSU Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: Acknowledgements--The authors thank Professor B. Imreh of Department of Computer Science, University of Szeged, Hungary, for critically reviewing our manuscript. This research was partially supported by the Hungarian Academy of Sciences. Although the research described in this article has been funded in part by the United States Environmental Protection Agency under assistance agreement R-819653 to Funding text 2: the Great Plains-Rocky Mountain Hazardous Substance Research Center for U.S. EPA Regions 7 and 8 with headquarters at Kansas State University, it has not been subjected to the Agency's peer and administrative review and, therefore, may not necessarily reflect the views of the Agency. No official endorsement should be inferred. This research was partially supported by the Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Graph-Theoretic Approach to Process Synthesis: Polynomial Algorithm for Maximal Structure Generation JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 17 PY - 1993 SP - 929 EP - 942 PG - 14 SN - 0098-1354 DO - 10.1016/0098-1354(93)80074-W UR - https://m2.mtmt.hu/api/publication/1044846 ID - 1044846 N1 - Department of Systems Engineering, Research Institute of Chemical Engineering, Hungarian Academy of Sciences, Veszprém, Pf. 125, 8201, Hungary Department of Mathematics, University of Veszprém, Veszprém, Hungary Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506, United States Cited By :258 Export Date: 16 October 2023 CODEN: CCEND Correspondence Address: Friedler, F. Funding details: U.S. Environmental Protection Agency, EPA, R-815709 Funding text 1: pendently verifying its mathematical contents. Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement R-815709 to the Great Plains/Rocky Mountain Hazardous Substance Research Center with headquarters at Kansas State University, it has not been subjected to the Aaencv’s Deer and administrative review and therefore may not ne&s~arily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by the Hungarian Academy of Sciences and Kansas State University Center for Hazardous Substance. Research. LA - English DB - MTMT ER - TY - JOUR AU - Friedler, Ferenc AU - Tarján, Klára AU - Huang, Y W AU - Fan, L T TI - Combinatorial Algorithms for Process Synthesis JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 16 PY - 1992 SP - S313 EP - S320 SN - 0098-1354 DO - 10.1016/S0098-1354(09)80037-9 UR - https://m2.mtmt.hu/api/publication/1044848 ID - 1044848 N1 - Cited By :204 Export Date: 16 October 2023 Correspondence Address: Fan, L.T.; Laboratory for Artificial Intelligence in Process Engineering Department of Chemical Engineering, , Kansas, 66506, United States Funding details: U.S. Environmental Protection Agency, EPA Funding details: Kansas State University, KSU Funding text 1: Although the research in this article has been funded in part by the U.S. Environmental Protection Agency under assistance agreement headquarters at Kansas State University, it has not been subjected to the and therefore may not necessarily reflect the views of the Agency and no official endorsement should be inferred. This research was partially supported by Kansas State University Center for Hazardous Substance Research. LA - English DB - MTMT ER -