TY  - BOOK
AU  - Elshimaa Ahmed Ramadan Ibrahim Elgendi
AU  - Mohamed Hassan Rasmy , 
AU  - Omar Soliman Soliman , 
TI  - A hybrid computational intelligent approach to solve project scheduling problems / 
PY  - 2015///
CY  - Cairo : 
PB  - Elshimaa Ahmed Ramadan Ibrahim Elgendi , 
KW  - Combinatorial optimization on problem
KW  - Computational intelligence
KW  - Multi-mode resource-constrained project scheduling problems
N1  - Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Operations Research and Decision Support; Issued also as CD
N2  - Multi-mode resource-constrained project scheduling problem (MRCPSP) is one of the most important problems in the context of project scheduling. MRCPSP is a notoriously difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms to find optimal or near-optimal solutions [7, 25, 30, 45]. Estimation of Distribution Algorithms (EDAs) are some of the most powerful evolutionary algorithms (EAs). The first motivation behind the emergence of EDAs, is to identify and exploit the linkage between variables in the solution in order to assist the evolution. Unlike other EAs, EDAs do not use crossover or mutation. Instead, they explicitly extract global statistical information from the previous search and build a posterior probability model of promising solutions, based on the extracted information
UR  - http://172.23.153.220/th.pdf
ER  -