caa a22 4500 605470103 CHVBK 20210128100326.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00500-014-1395-5 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1395-5 An outer-inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problem [Elektronische Daten] [Wenbin Hu, Huan Wang, Chao Peng, Huang Wang, Huangle Liang, Bo Du] Current research on the resource-constrained multi-project scheduling problem (RCMPSP) mainly focuses on the constrained resources or other single uncertainty factor that cannot satisfy the practical need of enterprise management. This paper addresses the dynamic uncertain multi-project scheduling problem (DUMPSP), which alleviates the above problem of RCMPSP by synthesizing the analysis of uncertainty, sensitivity, and lean management of resources and durations. An outer-inner uncertainty fuzzy cellular automata algorithm (OIUFCA) is proposed to solve DUMPSP. The problem is divided into several parts: (1) fuzzy cell is employed to describe the project cell and process cell in DUMPSP; (2) a fuzzy outer cellular automata (FOCA) model is defined to solve the project scheduling of DUMPSP, and a fuzzy inner cellular automata (FICA) model is constructed to solve the process scheduling; (3) multi-level feedback strategy (MFS) is further proposed to deal with the multi-level dual-stage optimization problem of DUMPSP. Besides, FOCA and FICA model execute co-evolution under the control of MFS. Extensive experiments are carried out to evaluate the performances of OIUFCA with other state-of-the-art algorithms. It is revealed that OIUFCA achieves a better performance in success rate and convergence speed in solving DUMPSP, and OIUFCA has a good solution under different conditions of uncertainty, sensibility, and lean management. Springer-Verlag Berlin Heidelberg, 2014 Cellular automata nationallicence Fuzzy cell nationallicence Uncertainty nationallicence Multi-project scheduling nationallicence Outer-inner nationallicence Hu Wenbin School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Wang Huan School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Peng Chao School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Wang Huang School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Liang Huangle School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Du Bo School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2111-2132 1432-7643 19:8<2111 2015 19 500 https://doi.org/10.1007/s00500-014-1395-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1395-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hu Wenbin School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Wang Huan School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Peng Chao School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Wang Huang School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Liang Huangle School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Du Bo School of Computer, Wuhan University, 430072, Wuhan, Hubei, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2111-2132 1432-7643 19:8<2111 2015 19 500