In approximate computing, the requirement of perfect functional behavior can be relaxed
because some applications are inherently error resilient. Approximate circuits, which fall into …

Abstract Navigation systems for Visually Impaired People (VIP) have improved in the last
decade, incorporating many features to ensure navigation safety. Such systems often use …

An approximate computing approach has recently been introduced for high level circuit
synthesis (HLS) in order to make good use of approximate circuits at system and block level …

In this paper, the approximate circuit design problem is formulated as a multi-objective
optimization problem in which the circuit error and power consumption are conflicting design …

The paper deals with the evolutionary post synthesis optimization of complex combinational
circuits with the aim of reducing the area on a chip as much as possible. In order to optimize …

A virtual reconfigurable architecture (VRA)-based evolvable hardware is proposed for
automatic synthesis of combinational logic circuits at gate-level. The proposed VRA is …

Evolutionary design of digital circuits has been well established in recent years. Besides
correct functionality, the demands placed on current circuits include the area of the circuit …

Genetic Programming as an automated method to evolve suitable computer programs for a
predefined task can also be applied to multi-objective optimization problems. Originally …

Multiple constant multiplier (MCM) is a digital circuit which multiplies its single input by N
constants. As MCMs are composed of adders and shifters, their implementation cost is …

Identification of implicit and explicit relationships in a data is a generic problem commonly
encountered in many fields of science and engineering. In the case of explicit relations, one …