Abstract Increasing evaluation indexes have been involved in the network modeling, and some parameters cannot be described precisely. Fuzzy set theory becomes a promising mathematical method to characterize such uncertain parameters. This study investigates fuzzy multi-objective path optimization problem (FMOPOP), which each arc has multiple crisp weights simultaneously. are characterized by tr...

In development of the automobile industry, lightweight and safety performance are contradictory, yet they great significance.The optimization process auto parts is a high-dimensional problem which has variety regulations limits tests at same time. order to address this issue, hierarchical multi-objective passenger car seat frame carried out in research. Different from previous researches, paper...

With the limited amount of national defense resources, dynamic allocation resources in overall project construction is conducive to improving efficiency construction. In this regard, paper constructs a resource model multi-objective and multi-stage fuzzy optimization based on Markov decision process (MDP). On basis, further adopts Q-learning algorithm seek strategy optimization. At last, determ...

This paper develops a single wholesaler and multi retailers mixture inventory distribution model for a single item involving controllable lead-time with backorder and lost sales. The retailers purchase their items from the wholesaler in lots at some intervals throughout the year to meet the customers’ demand. Not to loose the demands, the retailers offer a price discount to the customers on the...

Many researchers have controlled and analyzed biped robots that walk in the sagittal plane. Nevertheless, walking robots require the capability to walk merely laterally, when they are faced with the obstacles such as a wall. In walking robot field, both nonlinearity of the dynamic equations and also having a tracking system cause an effective control has to be utilized to address these problems...

Generator Maintenance Scheduling (GMS) problem in a vertically integrated electric utility system is considered in this paper. The cost and reliability objectives are included in the problem formulation. The GMS is formulated as a non linear, heavily constrained multi-objective optimization problem and the non dominated solutions are obtained using multi objective hybrid integer coded different...

An untraditional multi-objective programming approach, called as fuzzy game multi-objective optimization model (FGMOM), is illustrated to discuss suitability and significances in the problems of sustainable watershed management. FGMOM is developed based on the combination of fuzzy set theory, game theory and traditional multi-objective programming. The model is implemented to support decision m...