The current research work proposed a novel optimization-based 2D-SIMM (Two-Dimensional Sine Iterative chaotic map with infinite collapse Modulation Map) model for image encryption. is derived out of sine and Chaotic Map Infinite Collapse (ICMIC). In this technique, scrambling effect achieved the help Shift Transform (CST). used to change value pixels in input while substituted cyclically shifte...

In this work Chaotic Predator-Prey Brain Storm Optimization (CPS) algorithm is proposed to solve optimal reactive power dispatch problem. Predator–Prey position cluster centers execute as predators, accordingly it will progress towards enhanced positions, although the left over thoughts do preys; consequently they move far from their neighboring predators. projected chaotic theory has been appl...

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence into a local minima associated with particle swarm optimization algorithms. That is, the mutation ...

As a novel optimization technique, chaos has gained much attention and some applications during the past decade. For a given energy or cost function, by following chaotic ergodic orbits, a chaotic dynamic system may eventually reach the global optimum or its good approximation with high probability. To enhance the performance of the local search method (LS), which is based on the generalized re...

The traditional weak signal chaotic detection system still restricts some technical issues in the situation of the signal with noise, such as poor denoising ability and low detection precision. In this paper, we propose a novel weak signal chaotic detection system based on an improved wavelet transform algorithm. First, the traditional wavelet transform algorithm domain variables have been tran...

The present paper is aimed at introducing a new algorithm for image encryption using chaotic tent maps and the desired key image. This algorithm consists of two parts, the first of which works in the frequency domain and the second, in the time domain. In the frequency domain, a desired key image is used, and a random number is generated, using the chaotic tent map, in order to change the phase...

Aiming at the economic dispatch problem for an interconnected system with wind power integration, and in order to realize goals of economy improvement cross-regional consumption level energy, a decentralized coordination model is established this paper. In model, DC tie-line cut by branch cutting method used as coupling variable. A virtual upper-level center established, be solved decomposed in...

Specular reflection algorithm (SRA) was a single population meta-heuristic inspired by the physical function of mirror. However, similar to most algorithms, it had disadvantages weak diversity, stagnation in local optimal and low convergence rate. In order overcome these shortcomings, chaotic multi-specular optimization considering shared nodes (CMSRAS) proposed combination strategy with node, ...

Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence. The Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior ...