TEES: A novel multiple criteria optimization scheme for temperature-constrained energy efficient storage

Real life engineering problems usually require the satisfaction of different, potentially conflicting criteria. Design optimization, on the other hand, based on the conventional Taguchi method cannot accommodate more than one response. However, by the use of the overall evaluation criterion approach, the method can be applied to multiple-criteria optimization problems. This paper presents the use of different utility function methods as well as a multiple attribute decision-making model in the multiple-criteria optimization of a cold heading process. Different aspects of each method are discussed and compared.

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Multiple Criteria Optimization; A State of the Art Review

Lecture Notes in Economics and Mathematical Systems - Decision Making with Multiple Objectives ◽

10.1007/978-3-642-46536-9_3 ◽

1985 ◽

pp. 36-90 ◽

Cited By ~ 11

Author(s):

V. Chankong ◽

Y. Y. Haimes ◽

J. Thadathil ◽

S. Zionts

Keyword(s):

State Of The Art ◽

Multiple Criteria ◽

Multiple Criteria Optimization

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Solving a Co-operative Two-person Game under Uncertainty Using Multiple Criteria Optimization

Lecture Notes in Economics and Mathematical Systems - Multiple Criteria Decision Making in the New Millennium ◽

10.1007/978-3-642-56680-6_29 ◽

2001 ◽

pp. 314-324

Author(s):

Moussa Larbani ◽

Farida Achemine

Keyword(s):

Multiple Criteria ◽

Multiple Criteria Optimization ◽

Person Game

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Handling Conflicts in Fuzzy Multiple-Criteria Optimization

Lecture Notes in Economics and Mathematical Systems - Interactive Decision Analysis ◽

10.1007/978-3-662-00184-4_3 ◽

1984 ◽

pp. 31-40

Author(s):

Christer Carlsson

Keyword(s):

Multiple Criteria ◽

Multiple Criteria Optimization

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Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications

Data Warehousing and Mining ◽

10.4018/978-1-59904-951-9.ch004 ◽

2008 ◽

pp. 26-49 ◽

Cited By ~ 1

Author(s):

Yong Shi ◽

Yi Peng ◽

Gang Kou ◽

Zhengxin Chen

Keyword(s):

Data Mining ◽

Linear Programming ◽

Credit Card ◽

Programming Model ◽

Real Life ◽

Multiple Criteria ◽

Linear Programming Model ◽

Multiple Criteria Optimization ◽

Research Challenges ◽

Challenges And Opportunities

This chapter provides an overview of a series of multiple criteria optimization-based data mining methods, which utilize multiple criteria programming (MCP) to solve data mining problems, and outlines some research challenges and opportunities for the data mining community. To achieve these goals, this chapter first introduces the basic notions and mathematical formulations for multiple criteria optimization-based classification models, including the multiple criteria linear programming model, multiple criteria quadratic programming model, and multiple criteria fuzzy linear programming model. Then it presents the real-life applications of these models in credit card scoring management, HIV-1 associated dementia (HAD) neuronal dam-age and dropout, and network intrusion detection. Finally, the chapter discusses research challenges and opportunities.

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