Jose F. Espiritu

MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems

A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design problems are multi-objective in nature, and among those, several of them have various levels of system performance ranging from perfectly functioning to completely failed. This multi-objective genetic algorithm uses the universal moment generating function approach to evaluate the different reliability or availability indices of the system. The components are characterized by having different performance levels, cost, weight, and reliability. The solution to the multi-objective multi-state problem is a set of solutions, known as the Pareto-front, from which the analyst may choose one solution for system implementation. Two illustrative examples are presented to show the performance of the algorithm; and the multi-objective formulation considered for both of them is the maximization of system availability, and the minimization of both system cost, and weight.

Fair Division Transportation Allocation Model for Funding Prioritization

AbstractDue to the increasing population and limited funding for maintenance and construction, the efficiency of the transportation network system in the U.S. is being challenged by a potential crisis that endangers the economic growth of the nation and the quality of life of the people. Although funding allocation can be approached using different methods, it is difficult to reach consensus on the criteria used to distribute limited funds among competing needs. Conventional funding allocation methods use weighted formulas based on population and other criteria. However, formula-based funding allocation methods may lead to the public’s disagreement if funding allocation final decisions are not perceived as fair or equitable by all agencies. A fair division transportation allocation model (FDTAM) is proposed as an alternative to fairly distribute limited funds among the agencies competing for funding. The FDTAM aims to maximize the participants’ project desirability and to minimize total envy due to budget...