In this research, a study was carried out to exploit the hybrid schemes combining two classical local search techniques i.e. Nelder–Mead simplex search method and bidirectional random optimization with two metaheuristic methods i.e. the shuffled frog leaping and the shuffled complex evolution, respectively. In this hybrid methodology, each subset of meta-heuristic algorithms is improved by a hy...

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...

This article suggests a design method of a hybrid output feedback for SISO continuous systems. We focus on continuous systems forwhich there exists a hybrid state feedback law. A local hybrid stabilizability and a (global) complete uniform observability are assumed to achieve the stabilization of an equilibriumwith a hybrid output feedback law. This is an existence result. Moreover, assuming th...

A high performance speaker-independent isolated-word hybrid speech recognizer was developed which combines Hidden Markov Models (HMMs) and Radial Basis Function (RBF) neural networks. In recognition experiments using a speaker-independent E-set database, the hybrid recognizer had an error rate of 11.5% compared to 15.7% for the robust unimodal Gaussian HMM recognizer upon which the hybrid syste...

In distribution systems, in order to diminish power losses and keep voltage profiles within acceptable limits, network reconfiguration and capacitor placement are commonly used. In this paper, the Hybrid Shuffled Frog Leaping Algorithm (HSFLA) is used to optimize balanced and unbalanced radial distribution systems by means of a network reconfiguration and capacitor placement. High accuracy and ...

this research set out to evaluate the effect of combined biological and chemical nitrogen fertilizers on some corn hybrids. to this end an experiment was conducted as split plot on the basis of randomized complete block design with four replications. main plots were included: use of chemical and biological fertilizers in four levels: 100% chemical fertilizer, 75% chemical fertilizer + 100% bio-...

the share of dc-based renewable energy resources (rers) and electricity storage systems are increasing due to developments of smart grid technologies. moreover, the share of dc-based load has rapid growth due to significant developments of power electronic technologies. therefore, a more flexible power system is required for efficient integration of emerging loads and generators. in this paper,...

We show how reachable sets of constrained continuous and simple hybrid systems may be computed using the minimum time-toreach function. We present an algorithm for computing a discrete approximation to the minimum time-to-reach function, which we prove to be a converging underapproximation to the actual function. We use the discrete minimum time-to-reach function for simple hybrid systems to co...

In this paper we present an algorithm for the design of robust model-based predictive control for hybrid system under uncertainty via parametric programming. The proposed min-max hybrid control scheme guarantees feasible plant operation for the maximum violation of uncertainty scenario. The key advantage of the proposed hybrid controller design is reduction in expensive, repetitive in nature on...