Gender-Sensitive Disaster Vulnerability Using Analytic Hierarchy Process and Genetic Algorithm

2017 ◽  
pp. 315-319
Author(s):  
Gunhui Chung
Keyword(s):  
Genetic Algorithm ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Disaster Vulnerability ◽  
Hierarchy Process

scholarly journals Personalized Clinical Treatment Selection Using Genetic Algorithm and Analytic Hierarchy Process

2021 ◽  
Vol 6 (4) ◽  
pp. 406-413
Author(s):  
Olena Nosovets ◽  
Vitalii Babenko ◽  
Ilya Davydovych ◽  
Olena Petrunina ◽  
Olga Averianova ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Analytic Hierarchy Process ◽  
Clinical Treatment ◽  
Treatment Selection ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Optimum portfolio selection using a hybrid genetic algorithm and analytic hierarchy process

2015 ◽  
Vol 32 (3) ◽  
pp. 379-394 ◽  
Author(s):  
Maghsoud Solimanpur ◽  
Gholamreza Mansourfar ◽  
Farzad Ghayour
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Portfolio Selection ◽  
Efficient Frontier ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Multi Objective ◽  
Fitness Functions ◽  
Hierarchy Process

Purpose – The purpose of this paper is to present a multi-objective model to the optimum portfolio selection using genetic algorithm and analytic hierarchy process (AHP). Portfolio selection is a multi-objective decision-making problem in financial management. Design/methodology/approach – The proposed approach solves the problem in two stages. In the first stage, the portfolio selection problem is formulated as a zero-one mathematical programming model to optimize two objectives, namely, return and risk. A genetic algorithm (GA) with multiple fitness functions called as Multiple Fitness Functions Genetic Algorithm is applied to solve the formulated model. The proposed GA results in several non-dominated portfolios being in the Pareto (efficient) frontier. A decision-making approach based on AHP is then used in the second stage to select the portfolio from among the solutions obtained by GA which satisfies a decision-maker’s interests at most. Findings – The proposed decision-making system enables an investor to find a portfolio which suits for his/her expectations at most. The main advantage of the proposed method is to provide prima-facie information about the optimal portfolios lying on the efficient frontier and thus helps investors to decide the appropriate investment alternatives. Originality/value – The value of the paper is due to its comprehensiveness in which seven criteria are taken into account in the selection of a portfolio including return, risk, beta ratio, liquidity ratio, reward to variability ratio, Treynor’s ratio and Jensen’s alpha.

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