In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intelligent generation mechanism (MOIGM) is proposed to efficiently solve multi-objective optimization problems with large parameters. Instead of generate-and-test methods, MOIGM makes use of a systematic reasoning ability ...

Conjoint analysis studies typically utilize orthogonal fractional factorial experimental designs to construct a set of hypothetical stimuli. Occasionally, these designs include environmentally correlated attributes that can lead to stimulus profiles that are not representative of the subject’s environment. To date, no one has proposed a remedy well-grounded in statistical theory. This note pres...

In this paper, a double orthogonal array based genetic algorithm is proposed to decrease the searching space and increase the feasible quality of primers. The key point of the proposed algorithm is to achieve the elitism goal by applying the orthogonal arrays (OAs) that is used in quality engineering with a small amount of experimental features. The result shows that the proposed algorithm conv...

In this study the Taguchi method, has been applied to optimize the heat treatment parameters for the corrosion resistance of AA6061 aluminum alloy. The experimental design consisted of four parameters (aging temperature, aging time, quenching environment and NaCl concentration), each containing three levels. Tafel polarization measurements were carried out to determine the corrosion resistance ...

In this paper we discuss how to design efficient Jacobi-like algorithms for eigenvalue decomposition of a real normal matrix. We introduce a block Jacobi-like method. This method uses only real arithmetic and orthogonal similarity transformations and achieves ultimate quadratic convergence. A theoretical analysis is conducted and some experimental results are presented.

We suggest using D-efficient experimental designs for conjoint and discrete-choice studies, and discuss orthogonal arrays, nonorthogonal designs, relative efficiency, and nonorthogonal design algorithms. We construct designs for a choice study with asymmetry and interactions and for a conjoint study with blocks and aggregate interactions.∗

This paper proposes a research methodology, Lab-based Action Design Research, which combines organizational intervention (action research), building innovative artifacts (engineering research) and studies of software development practice (behavioral research) within a laboratory environment. Seven principles for successful Lab-based Action Design Research are proposed – attract funding with a w...

ANALYSIS OF MICRORNA MICROARRA Y (MM CHIP) DATA FOR AGING MICE MODELS Vikranth Shetty August 2nd, 2012 The present experimental designs have unique challenges in the analysis of microRNA expression intensity levels. In this project, various Normalization techniques were discussed with different statistical techniques and their application in an analysis performed at the Genes Centre of aging on...