Abstract
A multiple objective programming model of the Boston sludge disposal problem was formulated in which the objectives of net economic benefits, environmental impact, and variability of impacts were included. A generating technique was used to solve for the noninferior solutions. To reduce information overloading on the part of decision-makers and redundancy among solutions, cluster analysis was used to prune the noninferior set of solutions.
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