Gravitational Search Algorithm (GSA) is a newly heuristic algorithm inspired by nature which utilizes Newtonian gravity law and mass interactions. It has captured much attention since it has provided higher performance in solving various optimization problems. This study hybridizes the GSA and chaotic equations. Ten chaotic-based GSA (GSA-CM) methods, which define the random selections by diffe...

A novel application to the optimization of neural networks is presented in this paper. Here, the weight and architecture optimization of neural networks can be formulated as a mixed-integer optimization problem. And then a mixed-integer evolutionary algorithm (Mixed-Integer Hybrid Differential Evolution, MIHDE) is used to optimize the neural network. Finally, the optimized neural network is app...

In order to overcome the blindness of chaotic search, improve the convergence speed and global solving ability of the basic ant colony optimization(ACO) algorithm, an improved ACO algorithm based on combining multi-population strategy, adaptive adjustment pheromone strategy, chaotic search method and min-max ant strategy (MPCSMACO)is proposed in this paper. In the proposed MPCSMACO algorithm, t...

The control approach for chaotic systems is one of the hottest research topics in nonlinear area. This paper is concerned with the controller design problem for chaotic systems. The particle swarm optimization (PSO) algorithm is firstly proposed to search for the weights of the Chebyshev neural networks (CNNs), and then an adaptive controller for the chaotic systems is designed based on the PSO...

We present a chaotic hybrid invasive weed optimization (CHIWO) algorithm with an adaptive penalty function which is introduced to solve the constraints for solving the machinery optimizing problems. The proposed CHIWO algorithm runs consistently well on the studies of 13 Benchmark functions and 3 machinery optimizing problems. Experimental results indicate that CHIWO algorithm is a simple and e...

In this paper, chaotic dynamic and nonlinear control in a glucose-insulin system in types I diabetic patients and a healthy person have been investigated. Chaotic analysis methods of the blood glucose system include Lyapunov exponent and power spectral density based on the time series derived from the clinical data. Wolf's algorithm is used to calculate the Lyapunov exponent, which positive val...

Optimization algorithms inspired by the ants’ foraging behavior have been initially used for solving combinatorial optimization problems. Since the emergence of ant algorithms as an optimization tool, some attempts were also made to use them for tackling continuous optimization problems. In recent years, the investigation of synchronization and control problem for discrete chaotic systems has a...

To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial condition system parameters. Through the clone selection operator, antibody circulation and supple...

Abstract Infinite impulse response (IIR) filter system recognition is a serious issue nowadays as it has many applications on diversity of platforms. The whale optimization algorithm (WOA) novel nature-motivated population-based meta-heuristic where the hunting techniques humpback whales are implemented to solve problems. But main disadvantage WOA its stagnant convergence rate. As population ba...