Multi-objective optimization of solar powered ericsson cycle using genetic algorithm and fuzzy decision making

2015 ◽  
Author(s):  
Rajesh Arora ◽  
S. C. Kaushik ◽  
Raj Kumar
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Fuzzy Decision Making ◽  
Multi Objective Optimization ◽  
Fuzzy Decision ◽  
Multi Objective ◽  
Solar Powered

scholarly journals FMADM: YAGER MODEL IN FUZZY DECISION MAKING

2018 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Kisworo Kisworo
Keyword(s):  
Decision Making ◽  
Standard Form ◽  
Team Work ◽  
Fuzzy Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Decision ◽  
Multi Objective ◽  
Decisionmaking Process ◽  
Decision Environment

This paper presents Yager model, i.e. standard form of Fuzzy Multi-Atributte Decision Making (FMADM) in fuzzy decision environment. Simulasion of this model would be performed under scope of fuzzy decisionmaking process to show its existence. As academics, researchers, and practitioners know on it, besides theFMADM, so is there Fuzzy Multi-Objective Decision Making (FMODM) at where the both has their same derivation, e.i. Fuzzy Multi-Criteria Decision Making (FMCDM). Related to the matter, significant value that could be represented then gives contribution to team work-oriented principal of decision makers.Keywords: Yager Model, FMADM, FMODM, FMCDM, fuzzy decision-making.

scholarly journals Self-adaptive Genetic Algorithm and Fuzzy Decision Based Multi-objective Optimization in Microgrid with DGs

2016 ◽  
Vol 10 (1) ◽  
pp. 46-57 ◽  
Author(s):  
Shanyi Xie ◽  
Ruicong Zhai ◽  
Xianhu Liu ◽  
Baoguo Li ◽  
Kai Long ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Transmission Loss ◽  
Environmental Cost ◽  
Adaptive Genetic Algorithm ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Fuzzy Decision ◽  
Real Time Control ◽  
Multi Objective ◽  
Self Adaptive

Microgrid is one practical infrastructure to integrate Distributed Generations (DGs) and local loads. Its optimal operating strategy has aroused great attention in recent years. This paper mainly focuses on the multi-objective optimization of DGs in microgrid by using self-adaptive genetic algorithm (GA) and fuzzy decision. Five objective functions are taken into account comprising voltage offset, transmission loss, construction cost, purchase cost and the environmental cost. In the algorithm, self-adaptation in population size, mutation probability, selection and standardization of objective functions is developed to enhance the speed and efficiency of the algorithm. Moreover, fuzzy decision is applied to determine the final solution. Simulation results show this algorithm can effectively find the optimal solution and improve the real-time control of microgrid, which implies the possibility of potential applications in microgrid energy management system.

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