This paper proposes an experimental analysis on the convergence of evolutionary algorithms (EAs). The effect introducing chaotic sequences instead random ones during all phases evolution process is investigated. approach based substitution number generator (RNG) with sequences. Several numerical examples are reported in order to compare performance EA using and generators as regards both results speed. obtained show that some always able increase value measured algorithm-performance indexes...

Memristors are gaining increasing attention as next generation electronic devices. They also becoming commonly used fundamental blocks for building chaotic circuits, although often arbitrary (typically piece-wise linear or cubic) flux-charge characteristics assumed. In this paper, a circuit based on the mathematical realistic model of HP memristor is introduced. The makes use two memristors in antiparallel. Numerical results showing some attractors generated by and behavior with respect to...

We address the problem of how survival cooperation in a social system depends on motion individuals. Specifically, we study model which prisoner's dilemma players are allowed to move two-dimensional plane. Our results show that can survive such provided both temptation defect and velocity at agents not too high. Moreover, when these conditions fulfilled, only asymptotic state is all cooperators. might have implications for design cooperative strategies coordination other applications...

This paper introduces a comprehensive nonlinear dynamic model of motion actuators based on ionic polymer metal composites (IPMCs) working in air. Significant quantities ruling the acting properties IPMC-based are taken into account.

In this paper a new class of Cellular Neural Networks (CNNs) is introduced. The peculiarity the CNN model consists in replacing traditional first order cell with noninteger one. introduction fractional cells, suitable choice coupling parameters, leads to onset chaos two-cell system total less than three. A theoretical approach, based on interaction between equilibrium points and limit cycles, used discover chaotic motions CNNs.

We consider a set of mobile agents in two dimensional space, each one them carrying chaotic oscillator, and discuss the related synchronization issues under framework time-variant networks. In particular, we show that, as far time scale for motion is much shorter than that associated dynamical systems, global behavior can be characterized by scaled all-to-all Laplacian matrix, conditions depend on agent density plane.

Chimera states, that is, dynamical regimes characterized by the existence of a symmetry-broken solution where coherent domain and an incoherent one coexist, have been theoretically demonstrated numerically found in networks homogeneously coupled identical oscillators. In this work we experimentally investigate behavior closed open chain electronic circuits with neuron-like spiking dynamics first neighbor connections. Experimental results show onset regime call chimera states quiescent...

We study phase synchronization in a network motif with starlike structure which the central node's (the hub's) frequency is strongly detuned against other peripheral nodes. find numerically and experimentally regime of remote (RS), where nodes form synchronized cluster, while hub remains free its own dynamics serves just as transmitter for explain mechanism this RS by existence amplitude also show that systems fixed or constant amplitude, such classic Kuramoto oscillator, are not able to...

The realization of integrated devices determines unavoidable imperfections which are linked to the manufacturing process, thus making them imperfect systems. Imperfection is not always detrimental, as it can lead unexpected complex and organized behaviors. In this paper we explore possibility designing electronic circuits producing a chaotic flow with bandwidth up order several megahertz thanks hidden dynamics induced by construction imperfections, whose characteristics be tuned means single...

Chaos and random signals share the property of long term unpredictable irregular behavior broad band spectrum. The aim this paper is not to distinguish between chaotic dynamics, nor show use chaos, but focus attention on how chaos noise help order arise from disorder It means investigate effect introduction either deterministic or sequences in different types phenomena. In particular results related applications, self-organization arrays locally coupled systems which a dissymmetry present,...

In this paper, a simple system showing chaotic behavior is introduced. It based on the well-known concept of cellular neural networks (CNNs), which have already given good results in generating complex dynamics. The peculiarity CNN model consists fact that it replaces traditional first-order cell with noninteger-order one. introduction fractional cell, suitable choice coupling parameters, leads to onset chaos two-cell system. A theoretical approach, harmonic balance theory, has been used...

A new realization for the unfolded Chua's circuit is introduced. It has been derived from connection of three simple generalized cellular neural network (CNN) cells. The main theoretical implication this result that CNN cell represents primitive realizing high complex dynamics. implementation introduced system and experimental results referring to double scroll attractor are reported.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

In this paper, a first prototype of multifunctional tactile sensor using ionic polymer metal composites (IPMCs) is proposed, designed, and tested. Two IPMC strips are used, one as an actuator sensor, both positioned in cantilever configuration; working together they enable the system to detect presence material contact with it measure its stiffness. These sensing capabilities can be exploited various biomedical applications, such catheterism, laparoscopy surgical resection tumors. Moreover,...

This paper introduces a comprehensive model of sensors based on ionic polymer metal composites (IPMCs) working in air. Significant quantities ruling the sensing properties IPMC-based are taken into account and dynamics modelled.

Ionic polymer metal composites (IPMCs) are active materials that exhibit a bi-directional electromechanical coupling: voltage produces membrane bending, while by bending an IPMC output is obtained.