The uncertainties in design variables are unavoidable in the optimal design of
electromagnetic devices, and there is an imperative demand to find a robust design, which is …

Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm
inspired by the natural behavior of birds flocking or fish schooling. The PSO's main …

Optimization using finite element analysis and the adjoint variable method to solve
engineering problems appears in various application areas. However, to the best of the …

In the early design stage of an electromagnetic device, sufficient information on uncertainties
of design variables is not available. Therefore, a reliable optimal design cannot be achieved …

A major issue in optimal design of electromagnetic devices relates to optimizing against
uncertainty, in terms of geometric and physical parameters. The induction heating of a …

In order to deal with main targets of design methodologies subject to uncertainties in design
variables: reliability and robustness, the reliability-based robust design optimization …

Particle Swarm Optimization (PSO) is a member of the swarm intelligence-based on a
metaheuristic approach which is inspired by the natural deeds of bird flocking and fish …

This paper presents an efficient optimization strategy which employs adaptive Taylor Kriging
and Particle Swarm Optimization (PSO). In this method, the objective function of …

Particle swarm optimization (PSO) is an intelligent searching technique for solving
complicated and multimodal design optimization's problems. The classical PSO algorithm is …

Many versatile and promising swarm intelligence evolutionary algorithms are being
developed to solve engineering optimization problems. Although evolutionary algorithms …