This paper employs uncertain programming to deal with optimal assignment problem with uncertain profits. Within the framework of uncertain programming, a concept of expected optimal assignment for uncertain optimal assignment problem is proposed, and then an expected value model is constructed. Taking advantage of properties of uncertainty theory, this model can be transformed into a correspond...

Shortest path problem is a fundamental problem in network optimization and combinational optimization. The existing literature mainly concerned with the problem in deterministic, stochastic or fuzzy environments by using different tools. Different from the existing works, we investigate shortest path problem by regarding arc lengths as uncertain variables which are employed to describe the beha...

In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is minimization of the weighted summation of the expected cost of passenger waiting time, its va...

A multi-product newsboy problem with uncertain demand and uncertain storage space is investigated under a warehousing chance constraint. It is assumed that indeterminacy may appear in demand and storage space due to rough estimation of their distributions by decision-maker. Uncertainty theory provides a new tool to deal with the human uncertainty. We develop an uncertain expected value programm...

The uncertain capacitated arc routing problem is an important optimization with many real-world applications. Genetic programming considered a promising hyper-heuristic technique to automatically evolve policies that can make effective real-time decisions in environment. Most existing research on genetic for the only focused test performance aspect. As result, evolved by are usually too large a...