Approximate Computing (AxC) paradigm aims at designing computing systems that can satisfy the rising performance demands and improve energy efficiency. AxC exploits gap between level of accuracy required by users, actual precision provided system, for achieving diverse optimizations. Various techniques have been proposed so far in literature different abstraction levels from hardware to softwar...

Optimization problems with “expensive” and “black box” objectives are difficult to tackle. Some experience is accumulated in single-objective global optimization of those problems using algorithms based on statistical models of objective functions. The generalization of this approach to the multi-objective optimization is discussed.

Abstract The success of future lunar missions depends on quality positioning, navigation, and timing (PNT) information. Earthbound GNSS signals can be received at distances but suffer from poor geometric dilution precision (GDOP) provide no coverage the far side. This article explores design space a dedicated system in orbit by using multi-objective evolutionary algorithm framework to ...

a wind turbine transformer (wtt) is designed using a 3d wound core while the transformer’s total owning cost (toc) and its inrush current performance realized as the two objective functions in a multi-objective optimization process. multi-objective genetic algorithm is utilized to derive pareto optimal solutions. the effects of inrush current improvement on other operating and design parameters...

During the last decade, reverse logistics networks received a considerable attention due to economic importance and environmental regulations and customer awareness. Integration of leading and reverse logistics networks during logistical network design is one of the most important factors in supply chain. In this research, an Integer Linear Programming model is presented to design a multi-layer...

design and expansion of distribution systems seems inevitable in view of the need to satisfy the rise in energy consumption in a technical and economical way. optimal location, sizing and determining the service area of substations is one of the principle problems in expansion of distribution systems. also uncertainty is one of the important factors that increase risk of exact decision makings....

the present research proposes and optimizes the performance of a novel solar-driven combined cooling, heating, and power (cchp) kalina system for two seasons—winter and summer—based on exergy, exergo-economic, and exergo-environmental concepts applying a non-dominated sort genetic algorithm-ii (nsga-ii) technique. three criteria, i.e. daily exergy efficiency, total product cost rate, and total ...