@techreport{TD:7N8V7T,
	att_abstract={{In this paper we present a primal-dual interior-point algorithm to solve a class of  multi-objective network flow problems. More precisely, our algorithm is an extension of the single-objective primal infeasible dual feasible  inexact interior point method for multi-objective linear network flow problems. Our algorithm is contrasted with standard interior point methods and experimental results on bi-objective instances are reported.  The multi-objective instances are converted into single objective problems with the aid of an achievement function, which is particularly adequate for interactive decision-making methods. }},
	att_authors={mr5626},
	att_categories={},
	att_copyright={{}},
	att_copyright_notice={{}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={Interior point methods, Decision-making, Multi-objective network flows, Achievement functions},
	att_techdoc={true},
	att_techdoc_key={TD:7N8V7T},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:7N8V7T_DS1_2010-08-18T15:22:48.433Z.pdf},
	author={Mauricio Resende and Margarida Fonseca and Jo?e Figueira},
	institution={{}},
	month={January},
	title={{Solving scalarized multi-objective network flow problems with an interior point method}},
	year=2009,
}