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Research on Decision Approach of Portfolios Investment Based on Accelerating Genetic Algorithm

Wang Shuo,Tang Xiaowo,Zeng Yong

Strategic Study of CAE 2002, Volume 4, Issue 9, Pages 59-62

Abstract:

It can win through traditional genetic algorithm's shortcomins by applying accelerating genetic algorithm in solving combination forecasting problems. These shortcomings include poor adapt ability in search space (i.e. optimizing variable space), large measure quantity, premature convergence, no definitude instruct rule for setting technique of control parameter, etc. The new approach does not need canonicity in forecasting error information matrix, the objective function scale may extend widely,and the forecasting precision is high.

Keywords： accelerating genetic algorithm portfolio investment decision

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Analysis on Project Investment Decision Based on Down Knock-out Option and Game Theory

Wu Yun ,He Jianmin

Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 44-48

Abstract: option and the basic principle of real option are dissertated, then, the method applied in project investmentdecision based on down knock-out option and game theory is put forward.

Keywords： down knock-out option real option game theory investment decision

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Post-disaster reconstruction project management decision-making study

Tian Yuanfu,Li Hailian,Ma Xinmei

Strategic Study of CAE 2008, Volume 10, Issue 12, Pages 63-66

Abstract: Managers need to make a comprehensive and scientific decision-making according to the principle of people-centeredsupport to reconstruction task's reasonable statistics planning, with a view to enlighten and help decision-maker

Keywords： post-disaster reconstruction project management investment decision-making entropy

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PUBLIC INVESTMENT IN AGRI-FOOD SYSTEM INNOVATION FOR SUSTAINABLE DEVELOPMENT

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1, Pages 124-134 doi: 10.15302/J-FASE-2023484

Abstract:

● Global public and private agricultural R&D spending has increased since 2000.

Keywords： agri-food system innovation R&D investment productivity climate change

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Spillover effect of environmental investment: evidence from panel data at provincial level in China

Qunhui LIN, Guanyi CHEN, Wencui DU, Haipeng NIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 3, Pages 412-420 doi: 10.1007/s11783-012-0392-0

Abstract: This paper considers pollution density as a function of environmental investment.The higher environmental investment, the lower pollution density.panel data at the provincial level from 2005 to 2009, and tested the spillover effect of environmental investmentThis paper finds that the environmental investment influenced production technology positively.

Keywords： environmental investment spillover effect endogenous growth

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The study on investment and financing of non-grid-connected wind power system

Yang Xu and Liu Yong

Strategic Study of CAE 2015, Volume 17, Issue 3, Pages 75-78

Abstract:

In this paper， the ways of investment and financing of non-grid-connected wind power system was studiedFirstly expounds the wind power investment and financing.Then the available investment and financing methods on non-grid-connected wind power system was analyzed

Keywords： non-grid-connected wind power；investment & financing of non-grid-connected wind power industry；governmentdirect investment；financial investment；capital introduction； project financing cooperation

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Efficiency evaluation of government investment for air pollution control in city clusters: A case from

Frontiers of Engineering Management Pages 612-624 doi: 10.1007/s42524-023-0269-x

Abstract: The results demonstrate significant differences in investment efficiency between regions.However, we found that increasing the total investment scale can help mitigate this effect.Investment-combined technical efficiency, which represents the investment strategy, is the main obstacleto improving yearly investment efficiency.future investment measures and directions.

Keywords： investment efficiency government investment air pollution control three-stage DEA-Malmquist model

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Construction Project Investment Optimization Based on Genetic Algorithm

Chen Yaoming,Zhong Denghua,Fu Jinqiang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 68-71

Abstract: By applying network planning techniques and genetic algorithms to the model, the most satisfied decisionseveral near satisfied alternative results can be obtained, which can be used to control the project investment

Keywords： project investment multi-attribute utility function genetic algorithms

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Does environmental infrastructure investment contribute to emissions reduction? A case of China

Xiaoqian SONG, Yong GENG, Ke LI, Xi ZHANG, Fei WU, Hengyu PAN, Yiqing ZHANG

Frontiers in Energy 2020, Volume 14, Issue 1, Pages 57-70 doi: 10.1007/s11708-019-0654-7

Abstract: Environmental infrastructure investment (EII) is an important environmental policy instrument on responding

Keywords： environmental infrastructure investment (EII) CO₂ emission SO₂ emission PM

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Research on the Investment and Financing Mode of China Railway’s “Go Global” Strategy

He Huawu,Hong Yan,Ma Jian,Mo Yanping,Wu Weiping and Xiao Nan

Strategic Study of CAE 2017, Volume 19, Issue 5, Pages 27-32 doi: 10.15302/J-SSCAE-2017.05.005

Abstract:

This paper analyzes the current situation and problems of investmentand financing in China Railway's "Go Global" project, and summarizes the investmentBy analyzing the investment and financing modes of different types of China Railway's "Go Global

Keywords： China Railway’s “Go Global” strategy investment and financing financing cost national strategic project investment and financing mode

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Dynamic behavior of superheated steam and ways of control

LI Xu

Frontiers in Energy 2008, Volume 2, Issue 1, Pages 25-30 doi: 10.1007/s11708-008-0014-5

Abstract: sufficient for the superheater of power plant boilers, thus simplifying the superheater system and reducing investment

Keywords： engineering investment Numerous simulation lead/lag temperature

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Convergence to real-time decision making

James M. TIEN

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 204-222 doi: 10.1007/s42524-019-0040-5

Abstract: Real-time decision making reflects the convergence of several digital technologies, including those concernedMore specifically, real-time decision making can be depicted in terms of three converging dimensions:Internet of Things, decision making, and real-time.Decision making includes model-based analytics (since before 1990), information-based Big Data (sinceCentral to decision making, especially real-time decision making, is the ServGood concept, which the

Keywords： real-time decision making services goods ServGoods Big Data Internet of Things artificial intelligence

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Target-oriented robust optimization of a microgrid system investment model

Lanz UY, Patric UY, Jhoenson SIY, Anthony Shun Fung CHIU, Charlle SY

Frontiers in Energy 2018, Volume 12, Issue 3, Pages 440-455 doi: 10.1007/s11708-018-0563-1

Abstract: This paper develops a mixed-integer linear programming microgrid investment model considering multi-periodand multi-objective investment setups.As a result, it is seen that there are four factors that affect the decision of the model: cost, budget

Keywords： microgrid renewable resources robust optimization target-oriented robust optimization

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: This scoping review investigated AI-based decision support systems targeted at the intraoperative phasethat a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision

Keywords： artificial intelligence decision support clinical decision support systems intraoperative deep learning

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: purpose of this paper is to delineate the research challenges of human–machine collaboration in risky decision-makingIn risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possibleoutcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts withWe first summarize features of risky decision-making and possible biases of human decision-makers thereinAfterward, we review the literature on human–machine collaboration in a general decision context, from

Keywords： human–machine collaboration risky decision-making human–machine team and interaction task allocation