Abstract The relevant control strategy for the elevator group controller (EGC) is a complex optimization issue with several objectives. We in this paper have proposed the sequential-ring (S-Ring) model of EGC systems and a biobjective formulation of the EGC optimization problem. Unlike the previous work, we use true multiobjective optimizers in solving this problem. The testing on three real-world elevator systems has revealed... The relevant control strategy for the elevator group controller (EGC) is a complex optimization issue with several objectives. We in this paper have proposed the sequential-ring (S-Ring) model of EGC systems and a biobjective formulation of the EGC optimization problem. Unlike the previous work, we use true multiobjective optimizers in solving this problem. The testing on three real-world elevator systems has revealed the possible trade-os between the objectives and offer a valuable insight into the problem. Read More Read Less

Abstract Electric vehicles (EVs) reflects the viable solution but have some limitations especially in terms of autonomy. We advocate that the efficient routing of EVs is crucial to encourage their use. This article surveys the existing research related to electric vehicle routing problems (EVRP) and their variants. It examines EVRP in terms of their definitions, their objectives, and algorithms proposed for... Electric vehicles (EVs) reflects the viable solution but have some limitations especially in terms of autonomy. We advocate that the efficient routing of EVs is crucial to encourage their use. This article surveys the existing research related to electric vehicle routing problems (EVRP) and their variants. It examines EVRP in terms of their definitions, their objectives, and algorithms proposed for solving them. Read More Read Less

Abstract The world has been moving more smarter for which new technologies play crucial role. The transition from the old state in industry with the digital twins is a major development. In this work we introduced an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimization approach is important in achieving high efficiency of... The world has been moving more smarter for which new technologies play crucial role. The transition from the old state in industry with the digital twins is a major development. In this work we introduced an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimization approach is important in achieving high efficiency of production scheduling. The goal of the optimization is to find a production schedule that satisfies different, contradictory production constraints. We take a simulation tool that was used by a memetic version of the Indicator-Based Evolutionary Algorithm with customized reproduction operators and local search procedures to find a set of feasible, non-dominated solutions and analyse the required steps to achieve a digital twin. It is clear that with a multiobjective approach that is able to find high-quality solutions and flexibility of many \equal” solutions, the digital twin becomes a powerful tool for a decision maker. Read More Read Less