Genetic algorithms for optimizing of multiple resource scheduling problem
ZHANG Ying
Wang Dingwei
Wang Fuli
Abstract：Multiple Resource Constrained Project Scheduling Problem (MRCPSP) has been research. The objective is to determine the starting time for the activities of a project satisfying precedence and resource constraints in order to level resource usage. Nonlinear integer programming model has been established, genetic algorithm for solving leveling multi-types resource usage problem in MRCPSP is presented. Numerical examples show that genetic algorithms perform well for MRCPSP.
Keywords：genetic algorithmslevel resource usagenonlinear integer programming
Publication Date：2002-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 211-214 )