.... This study focuses on minimizing core losses to meet power density requirements, reducing component volume to address cost constraints and maximizing longitudinal inductance to enhance electromagnetic interference ( EMI ) performance. Design/methodology/approach A multiobjective optimization ( MOO...

... Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Topology optimization (TO) Design optimization methodology IPM motor Multiobjective optimization Mechanical strength Non-dominated sorting genetic algorithm 2 (NSGA-II) Normalized gaussian network (NGnet...

... rights only Dielectric material Space charge Bipolar charge transport model Parameters optimization Langevin’s recombination Trapping and detrapping phenomena Multiobjective optimization Dielectric properties The increased interest in energy transmission through high-voltage direct...

... and efficiency of the electric motor in automotive application by using different magnetic materials through a multiobjective optimization. Improving efficiency requires to reduce losses in each element of the powertrain, as well as reducing its energy consumption due to the total weight of the components...

... ⋯ M Sc,Rm 0 ] Condition monitoring Electrical machine Multiobjective optimization Particle swarm optimization Differential evolution Electric drives, such as squirrel cage induction motors, form a particularly important part of manufacturing machines. For a detailed...

... on the 3D model, it is easier to get optimized results with this approach and it saves a lot of computation time. Originality/value The multiobjective optimization based on PCEs could be helpful to perform the optimization when considering the system in a realistic 3D environment involving many...

... Multiobjective optimization Shape optimization Design optimization methodology Permanent magnet (PM) motors working either as brushless DC motors (PMBLDC) or as synchronous AC motors (PMSM) are becoming much sought-after due to their superior performance characteristics, smooth control and higher...

... idea is the degree of conflict among solutions because, in Pareto-like optimality, the nondominated solutions exhibit the lowest degree of conflict in the set of solutions. Wireless power transfer Multiobjective optimization Many-objective optimization Wireless power transfer system...

... analysis Multiobjective optimization Line-start permanent magnet synchronous motor Improved genetic algorithm In the contemporary process of electrical machine design, computer simulations have become an essential tool. Computer simulations enable the application of models of phenomena...

... the conflicting objectives in the multiobjective optimization environment. Particularly in the thermal power system’s (TPS) combined economic emission operation, the weighted aggregation is used widely. The weight factor of an objective is chosen in proportion to the relative importance of the aim. It is observed...

... and the flux distribution of these regions are regular. The magnetic reluctance of stator core can be expressed as: Permanent magnet machine Finite element analysis Multiobjective optimization Torque calculation Spoke-type PM Multi-objective optimization Torque ripple Efficiency Due...

... evolution Multiobjective optimization Piezoelectric stage has been extensively used in many cutting-edged applications, such as ophthalmic surgery robot (Enayati et al., 2016), electronic packaging (Liang et al., 2015), fast tool servo mechanism (Zhu et al., 2014...

... Publishing Limited Licensed re-use rights only Optimal design Multiobjective optimization Constraints handling Harmonic suppression LCL filter parameters design StarSim software Energy shortage and environmental pollution have become huge challenges for the world in recent years...

... Limited Licensed re-use rights only Induction heating Finite element method Multiobjective optimization The special feature of induction heating is being able to concentrate the induced power in specified areas (regions) of the workpiece being manufactured.It is conveniently used today...

... the optimization search to the most promising region of the design space. In the following, the surrogate models that are employed in MSAiTDEA are briefly presented. Induction heating Optimal control Finite element analysis Multiobjective optimization Many induction heating problems have...

... and experimental outputs. Qun Chen can be contacted at: cqs918@126.com 21 05 2019 23 08 2019 24 09 2019 30 09 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Magnetic hysteresis Actuators Multiobjective optimization...

... transmission systems Voltage stability Multiobjective optimization © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only The results on different benchmarking tests and some engineering problems indicated that not only benefit from high coverage and high...

.... Therefore this information cannot be used to define a search direction to guide the optimization. As a consequence, the number of evaluations required for combinatorial optimization is very high. For multiobjective optimization, scalarization techniques cannot be applied to find the complete set...

... to e.g. sensors position or source current value). A reasonable value estimated for the measurement error results ε _p=1.56 percent. Multiobjective optimization Power transformers Finite element method Bushing Parameter estimation Temperature measurement...

... methods. Originality/value – A new effective multiobjective topology optimisation is presented. This method enables to diverse design candidates for production models. (Equation 4) © Emerald Group Publishing Limited 2014 Topology Multiobjective optimization Shape...