scholarly journals An Improved SPEA2 Algorithm with Local Search for Multi-Objective Investment Decision-Making

2019 ◽  
Vol 9 (8) ◽  
pp. 1675 ◽  
Author(s):  
Xi Liu ◽  
Dan Zhang
Keyword(s):  
Decision Making ◽  
Local Search ◽  
Investment Decision ◽  
Global Search ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Improved Method ◽  
Optimal Boundary ◽  
Multi Objective ◽  
Investment Decision Making

Enterprise investment decision-making should not only consider investment profits, but also investment risks, which is a complex nonlinear multi-objective optimization problem. However, traditional investment decisions often only consider profit as a goal, resulting in an incorrect decision. Facing the high complexity of investment decision-making space, traditional multi-objective optimization methods pay too much attention to global search ability because of pursuing convergence speed and avoiding falling into local optimum, while local search ability is insufficient, which makes it difficult to converge to the Pareto optimal boundary. To solve this problem, an improved SPEA2 algorithm is proposed to optimize the multi-objective decision-making of investment. In the improved method, an external archive set is set up separately for local search after genetic operation, which guarantees the global search ability and also has strong local search ability. At the same time, the new crossover operator and individual update strategy are used to further improve the convergence ability of the algorithm while maintaining a strong diversity of the population. The experimental results show that the improved method can converge to the Pareto optimal boundary and improve the convergence speed, which can effectively realize the multi-objective decision-making of investment.

scholarly journals A Multi-Objective Decision Making Approach For Mutual Fund Portfolio

2011 ◽  
Vol 3 (10) ◽  
Author(s):  
Hari P. Sharma ◽  
Dinesh K. Sharma
Keyword(s):  
Decision Making ◽  
Mutual Fund ◽  
Investment Decision ◽  
Ideal Solution ◽  
Font Size ◽  
Distance Method ◽  
Multi Objective ◽  
Investment Decision Making ◽  
Fund Portfolio ◽  
Priority Structure

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-family: Times New Roman;"><span style="color: black; font-size: 10pt; mso-bidi-font-style: italic;">Investment decision-making problems ar</span><span style="font-size: 10pt;">e<span style="color: black; mso-bidi-font-style: italic;"> generally multi-objective in nature such as minimization of the risk and maximization of the return. <span style="mso-spacerun: yes;">&nbsp;</span>These problems can be solved efficiently and effectively using multi-objective decision making (MODM) tools such as a lexicographic goal programming (LGP). <span style="mso-spacerun: yes;">&nbsp;</span>This paper applies the LGP model for selecting an optimum mutual fund portfolio for an investor, while taking into account specific parameters including risk, return, expense ratio and others. <span style="mso-spacerun: yes;">&nbsp;</span>Using sensitivity analysis on the weights in a priority structure of the goals identifies all possible solutions in the decision-making process. <span style="mso-spacerun: yes;">&nbsp;</span>The Euclidean distance method is then used, to measure distances of all possible solutions from the identified ideal solution. <span style="mso-spacerun: yes;">&nbsp;</span>The optimum possible solution is determined by the minimum distance between the ideal solution and other possible solutions of the problem. <span style="mso-spacerun: yes;">&nbsp;</span>The associated weights will be the most appropriate weights in a given priority structure. <span style="mso-spacerun: yes;">&nbsp;</span>The effectiveness and applicability of the LGP model is demonstrated via a case example from broad categories of mutual funds.</span></span></span></p>

scholarly journals Multi-objective optimization for improving equity and reliability in intermittent water supply systems

2020 ◽  
Vol 20 (5) ◽  
pp. 1592-1603 ◽  
Author(s):  
Passwell Pepukai Nyahora ◽  
Mukand Singh Babel ◽  
David Ferras ◽  
Andres Emen
Keyword(s):  
Decision Making ◽  
Water Supply ◽  
Water Distribution ◽  
Investment Decision ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Water Supply Systems ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Intermittent Water Supply

Abstract Intermittent water systems suffer from several drawbacks such as unfair distribution among users, low reliability and poor water quality. Given limited water and financial resources, making decisions for improving intermittent water supply (IWS) becomes a complex process. The paths to continuous supply are a priori undefined, however, the provision of efficient service is crucial. In the scientific literature, limited research addresses how to improve intermittent systems, to enhance the current service while transitioning to continuous supply. A multi-objective optimization (MOO) tool using a genetic algorithm has been developed to assist in investment decision-making. This approach uses multiple cost-effective intervention options to maximize equity and reliability while minimizing cost implications in an IWS system. The costs in such interventions include expenditure on pipe replacement, booster pump and elevated tank installation. The approach was first tested on a benchmark Hanoi synthetic network, and then applied to the water distribution network of Milagro (Ecuador). The developed tool reveals the extent to which equity and reliability can be driving objectives, and how they can be factored into decision-making. The application of the MOO tool in intermittent systems in order to improve existing distribution networks with strategic infrastructure addition can provide greater equity and reliability.

Applied Research of Composite Weights – TOPSIS Method in Real Estate Investment Decision

2013 ◽  
Vol 711 ◽  
pp. 452-457
Author(s):  
Yong Ge Xu ◽  
Yang Fu
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Evaluation Method ◽  
Investment Decision ◽  
Ideal Point ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Multi Objective ◽  
Investment Decision Making

According to the shortage of the method in real estate investment decision, in order to supplement the deficiency of this one.this paper on the basis of comprehensive consideration of Effects of various factors of real estate project decision, this paper constructs the real estate investment decision-making multi-objective planning evaluation model.Into composite weights,determined by weightthrough the subjective evaluation method combined with the objective evaluation method,and by using the ideal point method (TOPSIS) to evaluate the real estate investment decision-making. This kind of method in view of the present real estate investment decision method is the present situation of the lack of certain to give support and complement, because real estate investment decision is a multi-objective process, so the method is introduced in this paper the method will be more close to the actual situation. Finally, combining with an example, this method is feasible and simple and practical, scientific and reasonable.

Improved multi-objective neural network to the complex investment decision-making evaluation

2020 ◽  
pp. 002072092092330
Author(s):  
Li Shen ◽  
Zhaoquan Cai
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Commercial Bank ◽  
Evaluation Method ◽  
Investment Decision ◽  
Economic Conditions ◽  
High Tech ◽  
Multi Objective ◽  
Investment Decision Making ◽  
Scheme Evaluation

As the investment directions and importance of high-tech enterprises increased largely, it is especially important to choose the most appropriate and effective investment for high-tech enterprises according to national conditions and economic conditions. In view of this, this paper proposes and constructs an investment decision-making scheme evaluation method of high-tech enterprises based on multi-objective neural network. The feasibility of the method was verified by investment decision-making scheme evaluation example of commercial bank. The results show that investment decision-making scheme B can best balance initial investment and capacity elasticity. The proposed method can be generalized to evaluation of other similar investment decision-making schemes.

The role of affective reactions on investment decision-making

2007 ◽  
Author(s):  
Enrico Rubaltelli ◽  
Giacomo Pasini ◽  
Rino Rumiati ◽  
Paul Slovic
Keyword(s):  
Decision Making ◽  
Investment Decision ◽  
Affective Reactions ◽  
Investment Decision Making
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