Nowadays, solving constrained engineering problems related to optimization approaches is
an attractive research topic. The chaotic krill herd approach is considered as one of most …

Abstract The Krill Herd (KH) optimization algorithm is one of the most recent heuristic
optimization techniques. This algorithm mimics the lifecycle of krill in oceans. Despite high …

Parameter estimation plays an important role in modeling and system identification.
However, parameter estimation of chaotic systems has some basic differences with other …

In this paper an optimization-based methodology for the design of the operating equilibrium
of a nonlinear dynamic system based on a measure of the extension of its domain of …

Abstract Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm,
called Krill Herd (KH). This paper introduces the chaos theory into the KH optimization …

Recently chaotic optimization algorithms as an emergent method of global optimization have
attracted much attention in engineering applications. Their good performances have been …

Purpose–To improve the performance of the krill herd (KH) algorithm, in this paper, a series
of chaotic particle-swarm krill herd (CPKH) algorithms are proposed for solving optimization …

This paper investigates Lyapunov approaches to expand the domain of attraction (DA) of
nonlinear autonomous models. These techniques had been examined for creating generic …

In this paper, a novel biologically-inspired algorithm, namely krill herd (KH) is proposed for
solving optimization tasks. The KH algorithm is based on the simulation of the herding …

Krill herd optimization algorithm is a biological optimized algorithm which simulates Krill
group social behavior in order to solve global optimization problems. The position of each …