By Topic

Introduction of a New Optimization Mechanism for Electimize

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Abdel-Raheem, M. ; Dept. of Civil, Environ. & Constr. Eng., Univ. of Central Florida, Orlando, FL, USA ; Khalafallah, A.

Electimize is a new evolutionary algorithm that simulates the phenomenon of the flow of electrons and electrical conductivity. Previous research proved Electimize to be very efficient in solving NP-hard optimization problems. The algorithm demonstrates higher capabilities in searching the solution space extensively, and identifying global optimal alternatives, if any. The basic advantage of Electimize over other evolutionary algorithms (EAs) lies in the evaluation process of the quality of the solution strings. Unlike other EAs, Electimize evaluates the quality of every value in the solution string independently. Recent research showed that Electimize is slow in converging towards the optimal solution, if the size of problem is increased. This paper presents a new mechanism for enhancing the performance of Electimize by introducing new parameters that would guide the algorithm towards the optimal values. The paper discusses the methodology of the work, the basic theory behind the newly introduced parameters, and the main steps of optimization.

Published in:

Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on

Date of Conference:

March 30 2011-April 1 2011