A systematic approach is presented to approximate the Pareto optimal front (POF) by a
response surface approximation. The data for the POF is obtained by multi-objective …

This paper proposes a hybrid algorithm based on the genetic algorithm (GA) and the
evolution strategy (ES) for the electromagnetic optimization problem. The GA is not good …

We extend an uncertainty principle due to Beurling into a characterization of Hermite
functions. More precisely, all functions f on Rd which may be written as P (x) exp (−〈 Ax, x〉) …

The relationship between sport and national identity is complex and multifaceted. Arguably it
has become more so since the end of the Second World War as the far-flung empires …

Efficient repetitive passive Q switching of a cladding-pumped Er–Yb fiber laser has been
demonstrated by use of an external-cavity configuration containing a Co^ 2+: ZnS crystal as …

Genetic algorithms are commonly used to solve many optimization and synthesis problems.
An important issue facing the user is the selection of genetic algorithm parameters, such as …

A parallel genetic algorithm (GA) optimization tool has been developed for the synthesis of
arbitrarily shaped beam coverage using planar 2D phased-array antennas. Typically, the …

Optimal design for an axial-flux permanent magnet synchronous generator (AFPMSG) using
genetic algorithm (GA) is presented, and the condition for minimum active material cost is …

Abstract The performance of Differential Evolution (DE) largely depends on the choice of trial
vector generation strategy and the values of its control parameters. In the past years, quite a …

The paper reviews the state of the art in modern field simulation techniques available to
assist in the design and performance prediction of electromechanical and electromagnetic …