Multicriteria Scheduling in Water Resources Engineering Using Genetic Algorithm
Serafim C. Opricovic, Gwo‐Hshiung Tzeng · 2000
A multicriteria genetic algorithm is developed to solve multicriteria scheduling optimization problem. The model and the solution of scheduling a number of activities under the constraints of shared resources are presented. The optimization procedure could be applied to solve problems characterized by several noncommensurable and conflicting criteria. The weights are introduced to express the relative importance of the criteria. The multicriteria approach originates from compromise programming and compromise ranking method. The multicriteria measure of closeness to the "ideal" solution is introduced for the fitness assignment. The affects of representation, evaluation, and GA parameters on convergence to the global optimum are considered. An illustrative example in water resources engineering is presented.