A Modified Flower Pollination Algorithm forFractional Programming Problems
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 3
Abstract
Flower pollination algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new method is developed chaos-based Flower Pollination Algorithm (CFPA) to solve Fractional Programming Problems (FPPs). The proposed algorithm is tested using several ROP benchmarks. The test aims to prove the capability of the CFPA to solve any type of FPPs. The solution results employing the CFPA algorithm are compared with a number of exact and metaheuristic solution methods used for handling FPPs. Numerical examples are given to show the feasibility, effectiveness, and robustness of the proposed algorithm. The results obtained using CFPA indicated the superiority of the proposed technique among others in computational time.
Authors and Affiliations
Mohamed Abdel-Baset*| Department of Operations Research, faculty of Computers and Informatics, Zagazig University, El-ZeraSquare, Zagazig,Sharqiyah, Egypt, Ibrahim M. Hezam| Department of computer, Faculty of Education, Ibb University, Ibb city, Yemen.
Keywords
Related Articles
- EP ID EP783
- DOI 10.18201/ijisae.56680
- Views 412
- Downloads 22
About a discussion ‘‘Development a new mutation operator to solve the Traveling Salesman Problem by aid of genetic algorithms’’, by Murat Albayrak and Novruz Allahverdi, 2011. Expert System with Applications, 38; 3, pp. 1313–1320.
In the Short Communication published in “Expert Systems with Application” in volume 41 2014, (Comments on "Albayrak, M., & Allahverdi N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem...
Improving Intrusion Detection using Genetic Linear Discriminant Analysis
The objective of this research is to propose an efficient soft computing approach with high detection rates and low false alarms while maintaining low cost and shorter detection time for intrusion detection. Our results...
A region covariances-based visual attention model for RGB-D images
Existing computational models of visual attention generally employ simple image features such as color, intensity or orientation to generate a saliency map which highlights the image parts that attract human attention. I...
Using Word Embeddings for Ontology Enrichment
Word embeddings, distributed word representations in a reduced linear space, show a lot of promise for accomplishing Natural Language Processing (NLP) tasks in an unsupervised manner. In this study, we investigate if the...
An Artificial Neural Network Model for Wastewater Treatment Plant of Konya
In this study, modelling of Konya wastewater treatment plant was studied by using artificial neural network with different architectures in Matlab software. All data were obtained from wastewater treatment plant of Konya...