Titlebook: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems; M.C. Bhuvaneswari Book 2015 Springer

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Design Space Exploration of Datapath (Architecture) in High-Level Synthesis for Computation Intensiardware accelerators). Furthermore, as the performance of particle swarm optimization is known for being highly dependent on its parametric variables, in the proposed methodology, sensitivity analysis has been executed to tune the baseline parametric setting before performing the actual exploration

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Cross-Talk Delay Fault Test Generation,the fault-dropping phase and hence very good reductions in transition activity are achieved. Tests are generated for scan versions of ISCAS’89, ISCAS’85, and ITC’99 benchmark circuits. Experimental results demonstrate that NSGA-II-based fault simulator gives higher fault coverage, reduced transition

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M.C. BhuvaneswariOne of its kind book on multi-objective optimization applied to VLSI design and embedded systems.Introduces multi-objective genetic algorithms (GA) and particle swarm optimization (PSO).Analyzes exper

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Tania Pietrzak,Evelyn Beverly Jahnncerned with deciding which function is to be implemented in Hardware (HW) and Software (SW). This type of partitioning process is decided a priori to the design process and is adhered to as much as possible because any changes in this partition may necessitate extensive redesign. As partitioning is

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Tania Pietrzak,Evelyn Beverly Jahnn NP hard problem and requires efficient heuristic algorithms to solve it. The problem involves dividing the circuit net list into two subsets. The balanced constraint is an important constraint that obtains an area-balanced layout without compromising the min-cut objective. The number of edges belo

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