Matching Traders in Pollution Trading Markets with Heterogeneous Trading Ratios

Abstract

Two heuristic algorithms are developed to handle combinatorial and discrete complications persistent in pollution trading markets. The algorithms specifically account for heterogeneous trading ratios innate in environmental problems resulting from the differential solubility and receptor-sensitivity of pollutants. The cost efficiencies of the algorithms are demonstrated both through simple examples and by formal reasoning.