Abstract Particle Swarm Optimization (PSO), in its present form, has been in existence for
roughly a decade, with formative research in related domains (such as social modelling …

Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

Optimization techniques have been indispensable for designing high-performance meta-
devices targeted to a wide range of applications. In fact, today optimization is no longer an …

Vehicle crashworthiness is an important issue to ensure passengers safety and reduce
vehicle costs in the early design stage of vehicle design. The aim of the crashworthiness …

This paper presents a novel optimization approach that is a new hybrid optimization
approach based on the particle swarm optimization algorithm and receptor editing property …

Electromagnetic (EM) metasurfaces have attracted great attention from both engineers and
researchers due to their unique physical responses. With the rapid development of complex …

Design of multi-layer radar absorber material (MRAM) is a multi-objective problem for
minimizing total reflection (TR) together with the total thickness (TT) by selecting optimum …

The design of low-frequency sound absorbers with broadband absorption characteristics
and optimized dimensions is a pressing research problem in engineering acoustics. In this …

Strong circular dichroism in absorption in the near-infrared wavelength range is realized by
designing binary-pattern chiral plasmonic metasurfaces via the micro-genetic algorithm …

Broadband binary-pattern metasurface absorbers are designed and demonstrated in the
mid-infrared wavelength range through the micro-genetic algorithm. The tungsten-based …