Hybrid Differential Artificial Bee Colony Algorithm Ajith Abraham1 ∗, Ravi Kumar Jatoth2, and A. Rajasekhar3 1Machine Intelligent Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA 2Department of Electronics and Communication Engineering, National Institute of Technology Warangal, India 3Department of Electrical and Electronics Engineering, National Institu...

A recent innovation in artificial intelligence research has been the integration of multiple artificial intelligence techniques into hybrid intelligent systems. Hybrid artificial intelligent systems seek to overcome the deficiencies of traditional artificial techniques by combining techniques with complementary capabilities. Using these hybrid systems, researchers have been able to solve a vari...

In this paper, Intelligent water drop algorithm (IWD) is used to analyze single overhead line connected to grid-grounded arrester. In this approach, at first Norton’s equivalent circuit of the overhead line over lossy soil is computed by method of moments (MoM) and then for the problem under consideration, a nonlinear equivalent circuit in the frequency domain is proposed. Finally applying inte...

Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved. The past few years have witnessed a growing recognition of Soft Computing (SC) technologies that underlie the conception, design and utilization of intelligent systems. In this paper, we present different SC paradigms involving an artificial...

This paper represents Hybrid model image fusion algorithm based on combination of pyramid method and Wavelet method .To improve the Quality of output image an Algorithm is proposed by using Laplacian pyramid and Gradient pyramid methods from pyramid method and, Haar wavelet from Wavelet method. This algorithm creates new images for further image processing applications like Enhancement, Segment...

this paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. the objective is to minimize the weighted sum of makespan and maximum tardiness. three meta-heuristic methods based on genetic algorithm (ga), imperialist competitive algorithm (ica) and a hybrid approach of ga a...

1. First of all, this lecture presents research experience such as immune system, genetic algorithm, particle swarm optimization, bacterial foraging, and its hybrid system and application to real system. This lecture will also show research experience and results of emotion for emotion robot by AI. From research experience, immune system, PSO (Particle Swarm Optimization), BF (Bacteria Foraging...

Asset allocation is critical for the portfolio management process. In this paper, we solve a dynamic asset allocation problem through a multiperiod stochastic programming model. The objective is to maximise the expected utility of wealth at the end of the planning periods. To improve the optimisation result of the model, we employ swarm intelligent optimisers, the Bacterial Foraging Optimisatio...

In this article, a capacitated location allocation problem is considered in which the demands and the locations of the customers are uncertain. The demands are assumed fuzzy, the locations follow a normal probability distribution, and the distances between the locations and the customers are taken Euclidean and squared Euclidean. The fuzzy expected cost programming, the fuzzy β-cost minimizatio...