The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

This paper presents a fractional-order model (FOM) for lithium-ion batteries and its
parameter identification using time-domain test data. The FOM is derived from a modified …

An important problem in engineering is the unknown parameters estimation in nonlinear
systems. In this paper, a novel adaptive particle swarm optimization (APSO) method is …

Target tracking algorithms usually assume that the received measurements stem from a
point source. However, in many scenarios this assumption is not feasible so that …

Abstract The Crayfish Optimization Algorithm (CFish) is an innovative meta-heuristic
approach that draws inspiration from the movements and behaviors of crayfish. CFish …

With the widely deployed wireless access points (APs) and the worldwide popularization of
smartphones, WiFi-based indoor positioning has attracted great attention to both industry …

Although significant research has gone into the field of electrical discharge machining
(EDM), analysis related to the machining efficiency of the process with different electrodes …

In this paper, we introduced a practical version of golden section search algorithm to
optimize multi/uni-modal objective functions. Accordingly, this study presented a novel …

This paper presents a methodology for finding optimal system parameters and optimal
control parameters using a novel adaptive particle swarm optimization (APSO) algorithm. In …