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The aim of this paper is twofold. First, we introduce "resource constraints"as a general concept that covers many practical restrictions on experimentaldesign. Second, for computing efficient exact designs of experiments under anycombination of resource constraints, we propose a tabu search heuristic thatuses some ideas of the Detmax procedure. To illustrate the scope andperformance of our heuristic, we computed D-efficient designs for 1) a blockmodel with limits on the numbers of blocks and on the availability ofexperimental material; 2) a quadratic regression model with simultaneousmarginal and cost constraints; 3) a non-linear regression model withsimultaneous direct and cost constraints. As we show, the proposed heuristicgenerates comparable or better results than algorithms specialized forcomputing optimal designs under less general constraints.

Heuristic construction of exact experimental designs under multiple resource constraints