A hybrid genetic algorithm for integrated project task and multi-skilled workforce scheduling

Journal of Computational Information Systems

Volumn 7, Issue 6, 2011, Pages 2187-2194

  Liu, Chunfeng ^a,b   Yang, Shanlin ^a,b  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b Tourism College of Zhejiang   (China)

Author keywords

Genetic algorithm; Priority rules; Project scheduling; Skilled workforce; Staffing

Indexed keywords

COMPUTATIONAL EXPERIMENT; CPU TIME; FITNESS VALUES; HYBRID GENETIC ALGORITHMS; INTEGER-NONLINEAR PROGRAMMING; INTEGRATED PROJECT; MULTIPLE TASKS; PARALLEL SCHEDULES; PRIORITY RULES; PROJECT COST; PROJECT DURATION; PROJECT SCHEDULING; PROJECT SCHEDULING PROBLEM; RULE BASED; SKILLED WORKFORCE; SOLUTION SPACE; STAFFING; WORKFORCE SCHEDULING;

COMPUTER PROGRAMMING; INTEGER PROGRAMMING; PERSONNEL; WAGES;

GENETIC ALGORITHMS;

EID: 79959578665     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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