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This paper presents how the stochastic simulation based genetic algorithm (GA) can be used to the fuzzy goal programming (FGP) formulation of a chance constrained multiobjective decision making (MODM) problem. In the proposed approach, a stochastic simulation to the chance constraints having the continuous random parameters is introduced first to determine the candidate solutions in the decision making...
This paper presents how genetic algorithm (GA) can be used in fuzzy goal programming (FGP) formulation of multiobjective stochastic programming (SP) problems. In the proposed approach, the individual optimal decision of each of the objectives are determined by using the GA scheme adopted in the process of solving the problem after converting the chance constraints into their deterministic equivalent...
This paper presents a genetic algorithm (GA) based fuzzy goal programming (FGP) solution method to multiobjective decision making (MODM) problems with fractional criteria. In the model formulation of the problem, first fractional objectives are transformed into fuzzy goals by defining the imprecise aspiration levels to each of them by employing the proposed GA. Then, the concept of membership functions...
This paper reviews recent advances in Charge Trap Flash (CTF) memories. CTFs are predicted to replace the traditional floating-gate flash devices beyond the 32 nm node. The paper focuses on work done at IIT Bombay in the areas of both nitride-based SONOS devices as well as nanocrystal (NC)-based devices. For SONOS devices, results are presented for optimization of the nitride layer to obtain the best...
Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to degrees of hardware concurrency hitherto unavailable. Dependable multithreaded software will have to rely on the ability to dynamically detect non-deterministic and notoriously hard to reproduce synchronization bugs manifested through data races. Previous solutions to dynamic data race...
This paper presents the design and experimental results of W-2W current mirror binary-weighted current steering digital-to-analog converter (DAC) and its application for programming phase change memory (PCM). This new approach significantly reduces the layout area of current-mode DACs by the virtue of its compact size. The proposed DAC can replace the write driver circuits in phase change memories...
In this article, the efficient use of a genetic algorithm (GA) to the goal programming (GP) formulation of interval valued multiobjective fractional programming problems (MOFPPs) is presented. In the proposed approach, first the interval arithmetic technique [1] is used to transform the fractional objectives with interval coefficients into the standard form of an interval programming problem with...
Sarbanes Oxley is a regulatory requirement for all public listed companies in United States. At its core, SOX requires that an organization maintains adequate controls over financial data and its access across the organization. Current market has been very volatile and business requires application to be delivered in less time and accommodate always changing requirements to gather more business. This...
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