Sufficient condition for partial efficiency in a bicriteria nonlinear cutting stock problem

This work presents a sufficient criteria for partial efficient solutions of the cutting stock problem with two objectives.We consider two important objectives for an industry: number of processed objects (cost of raw materials) and number of different patterns (cost of setup).These optimality results are established through a new approach based on connections between discrete optimization and continuous vector optimization.