In data mining, clustering is one of the important issues for separation and classification with groups like unsupervised data. In this paper, an attempt has been made to improve and optimize the application of clustering heuristic methods such as Genetic, PSO algorithm, Artificial bee colony algorithm, Harmony Search algorithm and Differential Evolution on the unlabeled data of an Iranian bank...

Differential evolution (DE) is a simple yet efficient evolutionary algorithm for real-world engineering problems. However, its search ability should be further enhanced to obtain better solutions when DE is applied to solve complex optimization problems. This paper presents an enhanced differential evolution with elite chaotic local search (DEECL). In DEECL, it utilizes a chaotic search strateg...

This paper presents the implementation of HDE algorithm for Concurrent Relay-PID (CRPID) controller for motor position servo systems. CRPID is composed of a deadband relay subcontroller which improves the transient performance and the parallel PID subcontroller which improves the steady state performance of the system. Controller is implemented using modern heuristic tuning techniques which are...

Sensor Node Localization is considered to be one of the most critical issues in a Wireless Sensor Network (WSN). The objective of localization is determination of physical co-ordinates of a group of sensor nodes. The location information plays a vital role for coverage, deployment of sensor nodes and rescue operations. Many applications such as routing and target tracking are all location depen...

The vehicle routing problem with simultaneous delivery and pick-up and time windows (VRPSDPTW) is presented from the point of strategic view that combines the logistics and reverse logistics (bidirectional logistics). A general mixed integer programming mathematic model of VRP-SDPTW is constructed, it can transform into other classical vehicle routing problems by setting different parameters. A...

This paper presents the solution of power economic dispatch (PED) problem of generating units with valve point effects and multiple fuel options using Self-Adaptive Differential Evolution (SDE) algorithm. The global optimal solution by mathematical approaches becomes difficult for the realistic PED problem in power systems. The Differential Evolution (DE) algorithm is found to be a powerful evo...

The capabilities of evolutionary algorithms (EAs) in solving nonlinear and non-convex optimization problems are significant. Differential evolution (DE) is an effective population-based EA, which has emerged as very competitive. Since its inception in 1995, multiple variants of DE have been proposed with higher performance. Among these DE variants, opposition-based differential evolution (ODE) ...

Evolutionary technique differential evolution (DE) is used for the evolutionary tuning of controller parameters for the stabilization of set of different chaotic systems. The novelty of the approach is that the selected controlled discrete dissipative chaotic system is used also as the chaotic pseudorandom number generator to drive the mutation and crossover process in the DE. The idea was to u...

Digital cameras to reduce cost, use an image sensor to capture color images. Color Filter Array (CFA) in digital cameras permits only one of the three primary (red-green-blue) colors to be sensed in a pixel and interpolates the two missing components through a method named demosaicking. Captured data is interpolated into a full color image and compressed in applications. Color interpolation bef...

In multispectral color imaging, there is a demand to select a reduced number of optimal imaging channels to simultaneously speed up the image acquisition process and keep reflectance reconstruction accuracy. In this paper, the channel selection problem is cast as the binary optimization problem, and is consequently solved using a novel binary differential evolution (DE) algorithm. In the propos...