floorplanning is an important step in physical design of vlsi circuits. it is used to plan the positions of a set of circuit modules on a chip in order to optimize the circuit performance. however, modern floorplanning takes better care of providing extra options to place dedicated modules in the hierarchical designs to align circuit blocks one by one within certain bounding box for helping seq...

traditionally, capoeta populations from the southern caspian sea basin have been considered as capoeta capoeta gracilis. study on the phylogenetic relationship of capoeta species using mitochondrial cytochrome b gene sequences show that capoeta population from the southern caspian sea basin is distinct species and receive well support (posterior probability of 100%). based on the tree topologie...

Sediment rating curve (SRC) is a conventional and a common regression model in estimating suspended sediment load (SSL) of flow discharge. However, in most cases the data log-transformation in SRC models causing a bias which underestimates SSL prediction. In this study, using the daily stream flow and suspended sediment load data from Shalman hydrometric station on Shalmanroud River, Guilan Pro...

Abstract: Innovations, commercialized by new or old established firms, located at the core of industrial renewal process. The innovation concept has suffered transformations, along with the evolution of the models that try to explain and understand the innovation process. The innovative process corresponds to all activities that generate technological changes and the dynamic interaction between...

This is a schools brief style of introduction to evolutionary economics. It addresses the nature of evolutionary theory in relation to economics, and examines why evolutionary economists argue that market-capitalism is an evolutionary system. Finally, it argues that liberal economic philosophy has much stronger and more direct relationship with evolutionary economic analysis than neoclassical e...

The pace of progress in the fields of Evolutionary Computation and Machine Learning is currently limited — in the former field, by the improbability of making advantageous extensions to evolutionary algorithms when their capacity for adaptation is poorly understood, and in the latter by the difficulty of finding effective semi-principled reductions of hard realworld problems to relatively simpl...