@techreport{TD:668LM4,
	att_abstract={{This paper presents a genetic algorithm for the Resource Constrained Multi-Project Scheduling Problem (RCMPSP). The chromosome representation of the problem is based on random keys. The schedules are constructed using a heuristic that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm. The approach is tested on a set of randomly generated problems. The computational 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 planning, heuristics, scheduling, genetic algorithm},
	att_techdoc={true},
	att_techdoc_key={TD:668LM4},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:668LM4_DS1_2010-08-18T16:53:55.849Z.pdf},
	author={Mauricio Resende and José Gonçalves and Jorge Mendes},
	institution={{}},
	month={October},
	title={{A genetic algorithm for the resource constrained multi-project scheduling problem}},
	year=2004,
}