Trajectory planning plays a crucial role in train operation by providing with the authorized
speed at each position. The traditional static train trajectory planning methods are always …

Metaheuristic optimization methods, as model-free approaches, are expected to be
applicable to practical issues (eg, engineering problems). Although optimization methods …

Differential evolution (DE) is one competitive form of evolutionary algorithms. It heavily relies
on mutating solutions using scaled differences of randomly selected individuals from the …

Differential evolution (DE) presents a class of evolutionary and meta-heuristic techniques
that have been applied successfully to solve many real-world problems. However, the …

Differential evolution (DE) is a robust algorithm of global optimization which has been used
for solving many of the real‐world applications since it was proposed. However, binomial …

Differential evolution (DE) is a very attractive evolutionary and meta-heuristic technique to
solve many optimization problems in various real-world scenarios. However, the proper …

Differential Evolution (DE) is one of the prevailing search techniques in the present era to
solve global optimization problems. However, it shows weakness in performing a localized …

Harmonic filtering has been widely applied to reduce harmonic distortion in power
distribution systems. This paper investigates a new method of exploiting Differential …

This paper proposes a memetic computing algorithm by incorporating Eager Random
Search (ERS) into differential evolution (DE) to enhance its search ability. ERS is a local …

Abstract Model calibration represents the task of estimating the parameters of a process
model to obtain a good match between observed and simulated behaviours. This can be …