A soft optimization approach to forest land management planning

Abstract

Forest land management planning provides a rich environment for the use of optimization techniques that incorporate multiple criteria and operate within a soft optimization decision environment. Using de novo programming, several approaches for examining planning problems are described where the objective is not simply to optimize a given system, but to design an optimal system. Both single and multiple objective linear programming models are used to illustrate this new approach and several illustrative examples are discussed.