An imperialist competitive algorithm approach for multi-objective optimization of direct coupling photovoltaic-electrolyzer systems

2014 ◽  
Vol 39 (33) ◽  
pp. 18743-18757 ◽  
Author(s):  
Azadeh Maroufmashat ◽  
Farid Sayedin ◽  
Sourena Sattari Khavas
Keyword(s):  
Imperialist Competitive Algorithm ◽  
Direct Coupling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Competitive Algorithm

Multi Objective Optimization of Direct Coupling Photovoltaic-Electrolyzer Systems Using Imperialist Competitive Algorithm

2014 ◽  
Author(s):  
Azadeh Maroufmashat ◽  
Farid Sayedin ◽  
Sourena Sattari
Keyword(s):  
Energy Transfer ◽  
Hydrogen Production ◽  
Minimum Energy ◽  
Imperialist Competitive Algorithm ◽  
Operating Conditions ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Competitive Algorithm ◽  
Pem Electrolyzer

Photovoltaic-electrolyzer systems are one of the most promising alternatives for obtaining hydrogen from a renewable energy source. Determining size and the operational conditions are always a key issue while coupling directly renewable electricity sources to PEM electrolyzer. In this research, the multi objective optimization approach based on an imperialist competitive algorithm (ICA), which is employed to optimize the size and the operating conditions of a directly coupled photovoltaic (PV)-PEM electrolyzer. This allows the optimization of the system by considering two different objectives, including, minimization of energy transfer loss and maximization of hydrogen generation. Multi objective optimization of PV/EL system predicts a maximum hydrogen production of 7930 gr/yr for energy transfer loss of 16.48 kWh/yr and minimum energy transfer loss of 5.21 kWh/yr at a hydrogen production rate of 7760 gr/yr for a the given location and the PV module.

scholarly journals A Modification of the Imperialist Competitive Algorithm with Hybrid Methods for Multi-Objective Optimization Problems

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 173
Author(s):  
Jianfu Luo ◽  
Jinsheng Zhou ◽  
Xi Jiang ◽  
Haodong Lv
Keyword(s):  
Evaluation Method ◽  
Optimization Problems ◽  
Hybrid Methods ◽  
Comprehensive Evaluation ◽  
Imperialist Competitive Algorithm ◽  
Multi Objective Optimization ◽  
Allocation Mechanism ◽  
Multi Objective ◽  
Competitive Algorithm ◽  
Radar Map

This paper proposes a modification of the imperialist competitive algorithm to solve multi-objective optimization problems with hybrid methods (MOHMICA) based on a modification of the imperialist competitive algorithm with hybrid methods (HMICA). The rationale for this is that there is an obvious disadvantage of HMICA in that it can only solve single-objective optimization problems but cannot solve multi-objective optimization problems. In order to adapt to the characteristics of multi-objective optimization problems, this paper improves the establishment of the initial empires and colony allocation mechanism and empire competition in HMICA, and introduces an external archiving strategy. A total of 12 benchmark functions are calculated, including 10 bi-objective and 2 tri-objective benchmarks. Four metrics are used to verify the quality of MOHMICA. Then, a new comprehensive evaluation method is proposed, called “radar map method”, which could comprehensively evaluate the convergence and distribution performance of multi-objective optimization algorithm. It can be seen from the four coordinate axes of the radar maps that this is a symmetrical evaluation method. For this evaluation method, the larger the radar map area is, the better the calculation result of the algorithm. Using this new evaluation method, the algorithm proposed in this paper is compared with seven other high-quality algorithms. The radar map area of MOHMICA is at least 14.06% larger than that of other algorithms. Therefore, it is proven that MOHMICA has advantages as a whole.

An improved imperialist competitive algorithm for multi-objective optimization

2016 ◽  
Vol 48 (11) ◽  
pp. 1823-1844 ◽  
Author(s):  
Najlawi Bilel ◽  
Nejlaoui Mohamed ◽  
Affi Zouhaier ◽  
Romdhane Lotfi
Keyword(s):  
Imperialist Competitive Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Competitive Algorithm

MOICA: A novel multi-objective approach based on imperialist competitive algorithm

2013 ◽  
Vol 219 (17) ◽  
pp. 8829-8841 ◽  
Author(s):  
Rasul Enayatifar ◽  
Moslem Yousefi ◽  
Abdul Hanan Abdullah ◽  
Amer Nordin Darus
Keyword(s):  
Imperialist Competitive Algorithm ◽  
Multi Objective ◽  
Competitive Algorithm
Sign in / Sign up

Export Citation Format

Share Document