Nonlinear and unconstrained multiple-objective optimization: Algorithm, computation, and application

An extension of Zionts-Wallenius procedure, providing a unified approach to solving several classes of multiple-objective optimization problems, is presented. The classes of problems addressed are linear programming, nonlinear programming, and unconstrained optimization. The methods and its extensions are described implemented for computer, subjected to extensive computational testing, and applied to a quality-control problem.