@techreport{TD:6DUK2C,
	att_abstract={{Debra Gardner, Secretary This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computation results validate the effectiveness of the proposed algorithm. ~ }},
	att_authors={mr5626},
	att_categories={},
	att_copyright={{}},
	att_copyright_notice={{}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={project management, random keys, scheduling, RCPSP, genetic algorithm},
	att_techdoc={true},
	att_techdoc_key={TD:6DUK2C},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:6DUK2C_DS1_2010-08-18T15:29:25.661Z.pdf},
	author={Mauricio Resende and Jorge Mendes and José Gonçalves},
	institution={{}},
	month={November},
	title={{A random key based genetic algorithm for the resource constrained project scheduling problem}},
	year=2006,
}