scholarly journals Experimental investigations and multiple criteria optimization during milling of Graphene Oxide (GO) doped epoxy/CFRP composites using TOPSIS-AHP hybrid module

2020 ◽  
Vol 48 (3) ◽  
pp. 628-635 ◽  
Author(s):  
Jogendra Kumar ◽  
Rajesh Verma
Keyword(s):  
Graphene Oxide ◽  
Multiple Criteria ◽  
Experimental Investigations ◽  
Multiple Criteria Optimization ◽  
Cfrp Composites ◽  
Hybrid Module

INVESTIGATION OF HUMAN FACTORS WHILE SOLVING MULTIPLE CRITERIA OPTIMIZATION PROBLEMS IN COMPUTER NETWORK

2009 ◽  
Vol 15 (3) ◽  
pp. 464-479 ◽  
Author(s):  
Tomas Petkus ◽  
Ernestas Filatovas ◽  
Olga Kurasova
Keyword(s):  
Human Factors ◽  
Optimization Problem ◽  
Computer Network ◽  
Optimization Problems ◽  
Multiple Criteria ◽  
Experimental Investigations ◽  
Multiple Criteria Optimization ◽  
Parallel Solution ◽  
Solution Strategies ◽  
Weight Coefficients

The aim of this investigation is to analyze a class of multiple criteria optimization problems that are solved by human‐computer interaction, using a computer network. A multiple criteria problem is iterated by interactively selecting different weight coefficients of the criteria. Several parallel solution strategies for solving this optimization problem have been developed and analyzed. The experiments have shown the importance of human assistance in solving this multiple criteria problem. New experimental investigations have been carried out with a different number of computers and different strategies where the human factors are analyzed. We have investigated the time necessary for human's training to solve this multiple criteria optimization problem, the dependence of human factors on the strategy of parallel solution and on the number of computers in a computer network. Santrauka Tyrimo tikslas – ištirti daugiakriterinių optimizavimo uždavinių klasę, kai uždaviniai sprendžiami kompiuterio ir žmogaus sąveikai naudojant kompiuterių tinklą. Daugiakriterinio optimizavimo uždavinys sprendžiamas interaktyviai, kiekvienam kriterijui parenkami skirtingi svoriniai koeficientai. Šiam uždaviniui spręsti buvo sukurtos ir ištirtos kelios lygiagretaus sprendimo strategijos. Eksperimentai parodė žmogaus, dalyvaujančio sprendžiant šį uždavinį, svarbą. Tiriant žmogiškąjį faktorių buvo atlikti eksperimentiniai tyrimai naudojant skirtingą kompiuterių skaičių pagal skirtingas strategijas. Ištirtas laikas, reikalingas žmogui išmokti spręsti šį daugiakriterinį optimizavimo uždavinį, nustatyta žmogiškojo faktoriaus priklausomybė nuo pasirinktos lygiagretaus sprendimo strategijos ir kompiuterių skaičiaus kompiuterių tinkle.

Evaluation of mechanical behaviour of graphene oxide grafted CFRP composites: a comparison of anodic and cathodic EPD

2021 ◽  
pp. 1-9
Author(s):  
Soumya Sumit Dash ◽  
Pavan Kumar Gangineni ◽  
B. N. V. S. Ganesh Gupta K ◽  
Srinivasu Dasari ◽  
Rajesh Kumar Prusty ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Mechanical Behaviour ◽  
Cfrp Composites

DIFFERENT APPROACHES IN MULTIPLE-CRITERIA OPTIMIZATION USING THE TAGUCHI METHOD: A CASE STUDY IN A COLD HEADING PROCESS

2004 ◽  
Vol 03 (01) ◽  
pp. 53-68 ◽  
Author(s):  
A. S. MILANI ◽  
C. EL-LAHHAM ◽  
J. A. NEMES
Keyword(s):  
Taguchi Method ◽  
Optimization Problems ◽  
Real Life ◽  
Multiple Attribute Decision Making ◽  
Multiple Criteria ◽  
Multiple Criteria Optimization ◽  
Multiple Attribute ◽  
Overall Evaluation ◽  
Decision Making Model

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.

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

2008 ◽  
pp. 26-49 ◽  
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.

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

2009 ◽  
pp. 1-25
Author(s):  
Yong Shi ◽  
Yi Peng ◽  
Gang Kou ◽  
Zhengxin Chen
Keyword(s):  
Data Mining ◽  
Linear Programming ◽  
Programming Model ◽  
Neuronal Damage ◽  
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 damage and dropout, and network intrusion detection. Finally, the chapter discusses research challenges and opportunities.

Injection Molding Process Windows Considering Two Conflicting Criteria: Simulation Results

2012 ◽  
Author(s):  
Alicia B. Rodríguez ◽  
Esmeralda Niño ◽  
Jose M. Castro ◽  
Marcelo Suarez ◽  
Mauricio Cabrera
Keyword(s):  
Injection Molding ◽  
Multiple Criteria ◽  
Process Window ◽  
Injection Molding Process ◽  
Processing Conditions ◽  
Molding Process ◽  
Multiple Criteria Optimization ◽  
Simulation Results ◽  
Main Ideas

In this work, two criteria in conflict are considered simultaneously to determine a process window for injection molding. The best compromises between the two criteria are identified through the application of multiple criteria optimization concepts. The aim with this work is to provide a formal and realistic strategy to set processing conditions in injection molding operations. In order to keep the main ideas manageable, the development of the strategy is constrained to two controllable variables in computer simulated parts.

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