Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review

2021 ◽  
Vol 135 ◽  
pp. 110202 ◽  
Author(s):  
Hussein Mohammed Ridha ◽  
Chandima Gomes ◽  
Hashim Hizam ◽  
Masoud Ahmadipour ◽  
Ali Asghar Heidari ◽  
...  
Keyword(s):  
Decision Making ◽  
Optimal Design ◽  
Photovoltaic System ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Comprehensive Review ◽  
Multi Objective ◽  
System A

Progressive Multi-Objective Optimization

2014 ◽  
Vol 13 (05) ◽  
pp. 917-936 ◽  
Author(s):  
Kenneth Sörensen ◽  
Johan Springael
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Sequential Approach ◽  
Nondominated Solutions ◽  
Multi Objective ◽  
Novel Technique ◽  
Single Solution ◽  
Set Approximation

This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference archive of nondominated solutions throughout the search. By applying this novel technique to a set of instances of the multi-objective knapsack problem, the superiority of PMOO over the commonly accepted sequential approach of generating a Pareto set approximation first and selecting a single solution afterwards is demonstrated.

scholarly journals إستعمال إسلوب تعدد الأهداف الأمثل وفقاً للتحليل النسبي مع تطبيق عملي

2020 ◽  
Vol 26 (122) ◽  
pp. 412-421
Author(s):  
Mohamed Naji Razooqee ◽  
Marwan Abdul Hameed Ashour
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Composite Score ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

يهدف البحث الى حل مشكلة إختيار المشروع المناسب من عدة مشاريع خدمية لمؤسسة الشهداء العراقية أو ترتيبها حسب الافضلية ضمن المعايير المستهدفة من قبل متخذ القرار، يتم  ذلك عن طريق إستعمال احدى الطرق الكمية في اتخاد القرارات متعددة الأهداف (Multi Criteria Decision  Making)  ((MCDM الا وهي طريقة التحسين متعدد الأهداف حسب التحليل النسبي (Multi Objective Optimization by Ratios Analysis) ((MOORA لقياس الدرجة المركبة (composite score) للأداء  الذي يحصل عليه كل بديل وأقصى فائدة تعود على الجهة المستفيدة وحسب المعايير واوزانها التي يتم حسابها عن طريق عملية التسلسل الهرمي التحليلي (Analytic Hierarchy Process) ((AHP ، اهم النتائج التي توصل اليها البحث وبالأعتماد على رأي الخبراء هي إختيار المشروع الثاني كأفضل بديل وعمل ترتيب (Ranking) حسب الأداء والدرجة المركبة التي حصل عليها كل بديل ، كما توصل الباحثون الى امكانية تطبيق النموذج لحل مختلف مشاكل (MCDM) وخاصة في الحالات التي تكون فيها المعايير متضاربة في مزيد من البحوث.

Multi-Objective Optimization Based Multi-Objective Controller Tuning Method with Robust Stabilization of Fractional Calculus CSTR

2021 ◽  
Vol 16 ◽  
pp. 375-382
Author(s):  
T. Sudha
Keyword(s):  
Decision Making ◽  
Fractional Order ◽  
Pid Controller ◽  
Genetic Evaluation ◽  
Performance Estimation ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Flower Pollination ◽  
Fractional Order Pid

In Continuous Stirred Tank Reactor (CSTR) have Fractional order PID with the nominal order PID controller has been used to Multi-Criteria Decision Making (MCDM) and EMO (Evolutionary Multi-objective Optimization) by adjustment of control parameters like Hybrid methods in Multi objective optimization. But, this Fractional order PID with the nominal PID controller has maximum performance estimation. Proposed research work focused the Flower Pollination Algorithm based on Multi objective optimization with Genetic evaluation and Fractional order PID with the nominal PID controller is provides CSTR results. When a flower is displayed to maximum variations in this practical state, the Genetic evaluation has been used to identify the variations. The FPID (Flower Pollination Integral Derivative) is used for tuning the parameters of a Fractional order PID with the nominal PID controller for each region to improve the multi-criteria decision making. FPID also denoted as Flower Optimization Integral Derivative (FOID). The Genetic evaluation scheduler has been combined with multiple local linear Fractional order PID with the nominal PID controller to check the stability of loop for entire regions with various levels of temperatures. MATLAB results demonstrate that the feasibility of using the proposed Fractional order PID with the nominal PID controller compared than the existing PID controller, and it shows the FOID attained better results.

INTEGRATING PROMETHEEII WITH THE TCHEBYCHEFF FUNCTION FOR MULTI CRITERIA DECISION MAKING

2010 ◽  
Vol 09 (04) ◽  
pp. 525-545 ◽  
Author(s):  
BANU SOYLU
Keyword(s):  
Decision Making ◽  
Experimental Study ◽  
Efficient Frontier ◽  
The Other ◽  
Test Problems ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Choice Problem ◽  
Multi Objective ◽  
Convex Part

Choice problem is related to finding the best compromise alternative or a set of alternatives among various options by considering conflicting criteria. PrometheeII is one of the well-known decision making methods that has been successfully applied to this problem. However, both our experiments and the other results from literature show that the PrometheeII algorithm performs better especially for problems having convex frontier. In this study, PrometheeII is integrated with the Tchebycheff function, which is capable of reaching efficient alternatives located at non-convex part of the efficient frontier. An experimental study is performed on the integrated procedure, PrometheeII and the multiplicative version of PrometheeII by using different test problems from the multi objective optimization literature.

Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics

2018 ◽  
Vol 64 ◽  
pp. 1-13 ◽  
Author(s):  
Dimitrios Kapsoulis ◽  
Konstantinos Tsiakas ◽  
Xenofon Trompoukis ◽  
Varvara Asouti ◽  
Kyriakos Giannakoglou
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Kernel Pca ◽  
Multi Objective Optimization ◽  
Multi Objective
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