Bidirectional rapidly exploring random trees (Bi-RRTs) have been widely applied in path
planning and have been demonstrated to yield the optimal path for indoor robots. However …

The selection of optimum parameters in electromagnetic design usually requires
optimization of multimodal, nonlinear functions. This leads to extensive calculations which …

Many real-world optimization problems have to be treated as multi-objective optimization
problems. An approach, well established in recent years, is to find Pareto optimal …

The characteristics analysis of an electric machine requires the finite-element method.
Hence, a large amount of computation occurs in the design process to take into account …

The conventional climb method is difficult to apply for the multimodal and multi-dimensional
optimization problem. To solve this problem, the improved climb method is proposed in this …

The self-adaptive low-high evaluation evolutionary-algorithm (SALHE-EA) is used to solve
multimodal optimization problems. SALHE-EA is able to find the multiple optima of a single …

The paper reviews the development of two branches of analysis tools, ie, magnetic circuits
and field solvers, and their implementation with an industrial design process for low …

Traffic flow optimization is an important and challenging problem in handling traffic
congestion issues in intelligent transportation systems (ITS). As the simulation and …

The optimization method is often used for designing the configuration of electromagnetic
apparatuses in order to enhance performance. Many optimal design methods have been …

The rapid growth in the number of electric vehicle (EV) owners has greatly increased the
demand for charging stations (CSs). The unreasonable deployment of charging stations in …