A Genetic Algorithm-Based Double-Objective Multi-constraint Optimal Cross-Region Cross-Sector Public Investment Model

2006 ◽  
pp. 470-479
Author(s):  
Tian Lei ◽  
Liu Lieli ◽  
Han Liyan ◽  
Huang Hai
Keyword(s):  
Genetic Algorithm ◽  
Public Investment ◽  
Investment Model

scholarly journals Permanent Housing for Seasonal Workers? A Generalized Peak Load Investment Model for Farm Worker Housing

2008 ◽  
Vol 40 (1) ◽  
pp. 151-169
Author(s):  
Elvis Qenani-Petrela ◽  
Ron Mittelhammer ◽  
Philip Wandschneider
Keyword(s):  
Public Investment ◽  
Peak Load ◽  
Investment Model ◽  
Supply Side ◽  
Farm Worker ◽  
Load Model ◽  
Seasonal Workers ◽  
Permanent Housing ◽  
Worker Housing

Many seasonal workers are housed in transitory accommodations, including tents and vehicles. In this study, we analyze the supply side of this problem by assuming that a public agent must house the workers through direct public investment. A peak load model is adapted to develop investment rules for the least-cost provision of seasonal worker housing, adding an interacting multi-season component to existing models. Based on this model and the data from three prototype projects, the majority of the least-cost investment would be in permanent, but seasonally occupied, housing.

scholarly journals Permanent Housing for Seasonal Workers? A Generalized Peak Load Investment Model for Farm Worker Housing

2008 ◽  
Vol 40 (01) ◽  
pp. 151-169
Author(s):  
Elvis Qenani-Petrela ◽  
Ron Mittelhammer ◽  
Philip Wandschneider
Keyword(s):  
Public Investment ◽  
Peak Load ◽  
Investment Model ◽  
Supply Side ◽  
Farm Worker ◽  
Load Model ◽  
Seasonal Workers ◽  
Permanent Housing ◽  
Worker Housing

Many seasonal workers are housed in transitory accommodations, including tents and vehicles. In this study, we analyze the supply side of this problem by assuming that a public agent must house the workers through direct public investment. A peak load model is adapted to develop investment rules for the least-cost provision of seasonal worker housing, adding an interacting multi-season component to existing models. Based on this model and the data from three prototype projects, the majority of the least-cost investment would be in permanent, but seasonally occupied, housing.

The Securities Investment Research and Analysis Based on Genetic Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 2370-2373
Author(s):  
Ke Qing Zhu ◽  
Jing Huang
Keyword(s):  
Genetic Algorithm ◽  
Short Selling ◽  
Difficult Problem ◽  
Investment Model ◽  
Securities Market ◽  
The Core ◽  
Wide Range ◽  
Securities Investment ◽  
Portfolio Selection Model ◽  
Cost Limit

With the constant development of the securities market, securities investment is the core topic, and how to choose from a wide range of securities, is always a difficult problem in front of investors. This paper introduces the basic concept of genetic algorithm, to all parts of the genetic algorithm and genetic algorithm based model has made the detailed introduction. Combining genetic algorithm and portfolio, this paper puts forward the model based on genetic algorithm, the securities investment, through carried on the thorough research of securities investment model, and considering the modern portfolio theory in our country is practical, which is based on short-selling restrictions, transaction cost limit and the smallest unit of trading limit proposed portfolio selection model with investment restrictions.

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