Hybrid Genetic Algorithm for Constrained Nonlinear Optimization Problems
S. M. Nasr, M. A. El-Shorbagy, I. M. El-Desoky, Z. M. Hendawy, A. A. Mousa
Journal of Advances in Mathematics and Computer Science · pp. 466–480 · Published 3 Mar 2015
10.9734/BJMCS/2015/16193Abstract
In this paper we present a hybrid optimization algorithm for solving constrained nonlinear optimization problems. The hybrid algorithm is a combination between one of the intelligence techniques (genetic algorithm) and chaos theory to enhance the performance and to reach the optimal solution. The proposed algorithm is operates in two phases: in the first one, genetic algorithm is implemented to solve nonlinear optimization problem. Then, in the second phase, local search referred to chaos theory is introduced to improve the solution quality and find the optimal solution. The results of numerical studies have been demonstrated the superiority of the proposed approach to finding the global optimal solution.
Cited by 16
Honghee Kim, Sahuck Oh · International Journal of Mechanical Sciences · 2022
M. A. El-Shorbagy, Adel M. El-Refaey · IEEE Access · 2020
A. A. Mousa, M. A. El-Shorbagy, M. A. Farag · IEEE Access · 2020
Mohammed A. El-Shorbagy, Islam M. Eldesoky, Mohamady M. Basyouni · Mathematics · 2022
M A El-Shorbagy, Adel M El-Refaey · Journal of Computational Design and Engineering · 2022
Rizk M. Rizk-Allah, Islam M. Eldesoky, Ekram A. Aboali · International Journal of Computational Intelligence Systems · 2023
Related research
- An Intelligent Tuned Harmony Search Algorithm for Optimum Design of Steel Framed Structures to AISC-LRFD — shares topic coverage
- A Genetic Algorithm with Neighborhood Search to Solve Integer and Linear Programming Problems — shares topic coverage
- An Optimized Genetic Approach for Scheduling Task Duplication in Parallel Systems — shares topic coverage
- Genetic Algorithm Based on K-means-Clustering Technique for Multi-objective Resource Allocation Problems — shares topic coverage
- A Genetic Algorithm in Green Cloud Computing — shares topic coverage
Article metrics
Real usage data collected on this platform.
27
Page views
0
PDF downloads
2
Outbound clicks
16
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.