Rapid prototyping for low-level hybridization of PSO-GA

• Published in: Frontiers in Artificial Intelligence and Applications
• Main Author: Masrom S.; Abidin S.Z.Z.; Omar N.; Nasir K.
• Format: Conference paper
• Language: English
• Published: IOS Press BV 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948783246&doi=10.3233%2f978-1-61499-434-3-495&partnerID=40&md5=99f0b593be3fde54bf05df7e24263291

Responding to the difficulties of implementing low-Level Hybridization (LLH), this paper introduces general implementation frameworks for the algorithm focusing on the two well-known meta-heuristics namely Particle Swarm Optimization( PSO) and Genetic Algorithm (GA). Furthermore, in order to provide a more effective approach for the rapid algorithm design and programming implementation, a set of scripting language constructs has been developed that employs the proposed implementation frameworks. For evaluation, twelve algorithms that composed of nine LLHs and three single PSO have been coded and executed with the scripting language. The codes are shown to concisely describe the algorithm in a directly publishable form. In addition, the remarkable optimization results of the LLHs has demonstrated the effectiveness of the LLH mechanisms provided by the proposed implementation frameworks. © 2014 The authors and IOS Press. All rights reserved.