Time series prediction involves analyzing a set of data from past and current occurrences in order to predict the future set of data. In dynamic systems, chaotic behaviour is intrinsically observable and the resulting chaotic time series have nonlinear characteristics. Nevertheless, such data can be optimized to make sense out of the chaos. Multiple algorithms exist to this end, which have vari...

In lens design, damped least-squares methods are typically used to find the nearest local minimum to a starting configuration in the merit function landscape. In this paper, we explore the use of such a method for a purpose that goes beyond local optimization. The merit function barrier, which separates an unsatisfactory solution from a neighboring one that is better, can be overcome by using l...

In this paper, a new design technique for the design of robust state feedback controller for static synchronous compensator (STATCOM) using Chaotic Optimization Algorithm (COA) is presented. The design is formulated as an optimization problem which is solved by the COA. Since chaotic planning enjoys reliability, ergodicity and stochastic feature, the proposed technique presents chaos mapping us...

Chaotic maps used to shuffle and manipulate the image pixels are important for encryption (IE). In this study, a novel 2D optimized chaotic map (OPMAP) using triple-objective differential evolution (TODE) algorithm is presented IE. A model OPMAP with eight decision variables empirically designed, then its determined utilizing TODE through minimizing function that involving Lyapunov exponent (LE...

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviors of bird and other social organisms instead of the survival of the fittest individual. Inspired by the classical PSO method and...

Differential evolution (DE) algorithms compose an efficient type of evolutionary algorithm (EA) for the global optimization domain. But DE is not completely free from the problems of slow and/or premature convergence. In this paper, an improving clustering-based differential evolution with chaotic sequences and new mutation operator (CCDE) is proposed for the unconstrained global optimization p...

Based on the issue of torsional vibration, this article analyzes the structure of the drive part of coaxial drive printing system, constructs its mathematic model, and explores the mechanism of generation of torsional vibration of press-that is the coupling of inherent frequency between input signal and machine drive system which leads to torsional vibration. In view of this, it adopts the clos...