Search

SUMMARY In this paper, we propose the optimization of the parameters of a hybrid antenna for wireless applications by using a multi-objective evolutionary programming (EP). Specifically, the antenna proposed is formed by a planar inverted-F antenna and a coplanar patch, in the same structure. The objective functions to carry out the optimization process are related to the antenna's bandwidth and the gain requirements in the wireless applications considered. In fact, the antenna is intended to be used in mobile and WIFI applications simultaneously. To be concise, we have utilized an improved fast EP optimization approach that includes a selection mechanism based on nondominated ranking procedure with crowding distance to maintain diversity in the population. In the experimental part of the paper, we show that the multi-objective EP-improved fast EP is able to obtain excellent results in the parameters' design of this hybrid device, with reasonable values of both bandwidth and gain values. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Abstract: This paper thoroughly reviews and analyzes the main characteristics and application portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has been shown to achieve excellent results in a wide range of optimization problems. As evidenced by a number of studies, this algorithm features several innovative aspects in its operational procedure that foster its utilization in diverse fields such as construction, engineering, robotics, telecommunications, health and energy. This manuscript will go through the most recent literature on the application of Harmony Search to the aforementioned disciplines towards a three-fold goal: (1) to underline the good behavior of this modern meta-heuristic based on the upsurge of related contributions reported to date; (2) to set a bibliographic basis for future research trends focused on its applicability to other areas; (3) to provide an insightful analysis of future research lines gravitating on this meta-heuristic solver. [Copyright &y& Elsevier]

Abstract: This paper presents a novel multi-objective heuristic approach for the efficient distribution of 24-h emergency units. This paradigm is essentially a facility location problem that involves determining the optimum locations, within the existing health care centers, where to deploy 24-h emergency resources, as well as an efficient assignment of patients to such newly placed resources through the existing medical care infrastructure. The formulation of the underlying NP-complete problem is based on a bi-objective distance and cost metric, which is tackled in our approach by combining a Harmony Search algorithm with a grouping encoding and a non-dominated solution sorting strategy. Additionally, the nominal grouping encoding procedure has been redefined in order to reduce the dimension of the search space, thus allowing for a higher efficiency of the searching process. Extensive simulations in a real scenario – based on the geographic location of medical centers over the provinces of Guadalajara and Cuenca (Spain) – show that the proposed algorithm is statistically robust and provides a wide range of feasible solutions, hence offering multiple alternatives for the distribution of emergency units. [Copyright &y& Elsevier]