Multi-objective traveling salesman problem (MOTSP) is an extended instance of traveling salesman problem (TSP), which is a well-known NP hard problem. In this paper, an improved NSGA-II algorithm (denoted by INSGA-II-MOTSP) is proposed to solve the MOTSP. Specifically, a layer strategy according to need is proposed to avoid generating unnecessary non-dominated fronts. The arena’s principle is a...

The member selection problem is an important aspect of the formation of cross-functional teams (CFTs). Selecting suitable members from a set of candidates will facilitate the successful task accomplishment. In the existing studies of member selection, the individual performance concerning a single candidate is mostly used, whereas the collaborative performance associating with a pair of candida...

Recently, the control plane of core network (CN) has introduced a flat service-based architecture to improve flexibility, openness, and intelligence. And novel radio access (RAN)-CN converged was proposed leverage advantages virtualization cloudification, reduce delay overhead, increase processing efficiency. In this paper, in order fully utilize RAN-CN move services closer user equipment, mult...

Integrated process planning and scheduling (IPPS) is important for modern manufacturing companies to achieve efficiency improve resource utilization. Meanwhile, multiple objectives need be considered in the realistic decision-making systems. Based on above system requirements, it becomes increasingly develop effective methods deal with multi-objective IPPS problems. Therefore, an improved NSGA-...

Electric vehicles (EVs) are widely applied in logistics companies’ urban distribution, as fuel prices increase and environmental awareness grows. This study introduces an EV charging station (CS) location-routing problem with time windows resource sharing (EVCS-LRPTWRS). Resource sharing, among multiple depots within service periods is proposed to adjust the transportation configuration for a s...

Abstract Robot manipulators perform a point-point task under kinematic and dynamic constraints. Due to multi-degree-of-freedom coupling characteristics, it is difficult find better desired trajectory. In this paper, multi-objective trajectory planning approach based on an improved elitist non-dominated sorting genetic algorithm (INSGA-II) proposed. Trajectory function planned with new composite...

Abstract This paper addresses a multi-objective energy-efficient scheduling problem of the distributed permutation flowshop with sequence-dependent setup time and no-wait constraints (EEDNWFSP), which have important practical applications. Two objectives minimization both makespan total energy consumption (TEC) are considered simultaneously. To address this problem, new mixed-integer linear pro...