نتایج جستجو برای: intelligent water drops

تعداد نتایج: 638126  

2018
Absalom E Ezugwu Francis Akutsah Micheal O Olusanya Aderemi O Adewumi

The intelligent water drop algorithm is a swarm-based metaheuristic algorithm, inspired by the characteristics of water drops in the river and the environmental changes resulting from the action of the flowing river. Since its appearance as an alternative stochastic optimization method, the algorithm has found applications in solving a wide range of combinatorial and functional optimization pro...

Journal: :IJDMMM 2013
Hamed Shah-Hosseini

In this paper, the K-means algorithm for data clustering is improved by the swarm-based nature-inspired optimisation algorithm, the intelligent water drops (IWD) algorithm. The K-means algorithm is an iterative algorithm in which the number of clusters is given in advance. Although the K-means is fast to converge, it is sensitive to the initial conditions. As a result, it is often trapped in lo...

2016
Hamed Shah Hosseini Hamed Shah-Hosseini

163904-4747-IJECS-IJENS © August 2016 IJENS I J E N S Abstract— The intelligent water drops (IWD) algorithm was introduced in 2007 by Hamed Shah Hosseini, and has been successfully implemented to solve many types of optimization problems, especially traveling salesman problem (TSP). The algorithm works by imitating the behavior of the natural river water drops. Principally, the algorithm finds ...

Journal: :IJMIC 2012
Hamed Shah-Hosseini

In this paper, the newly introduced swarm-based optimisation algorithm called intelligent water drops (IWDs) algorithm is adjusted to optimise a modified Otsu’s criterion for automatic multilevel thresholding. The proposed algorithm simply called IWD-AMLT is tested with several grey-level images and its performance is assessed by the peak signal to noise ratio (PSNR) measure. The thresholded im...

2011
Hifza Afaq Sanjay Saini

This paper attempts to bring forward various newly emerged natural computing techniques to a common platform. Six such techniques are compared among each other which have been used to solve a w ell known classical problem, the travelling salesman problem. The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization ...

2006
Brennan J. Rusnell

Water motion is a highly complex phenomenon. From ocean waves to raindrops, water is described by a wide range of shapes and is affected by a wide range of forces. This paper presents a physically-based method of modeling the latter phenomenon raindrops. This model can handle bodies of water with varying underlying terrain, as well as many different fluids, but cannot represent spray systems, w...

Journal: :journal of operation and automation in power engineering 2014
h. bagheri tolabi m. h. ali m. rizwan

this paper presents a new hybrid method for optimal multi-objective reconfiguration in a distribution feeder in addition to determining the optimal size and location of multiple-distributed generation (dg). the purposes of this research are mitigation of losses, improving the voltage profile and equalizing the feeder load balancing in distribution systems. to reduce the search space, the improv...

Journal: :Journal of Glaciology 1972

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