Download PDF by M.C. Bhuvaneswari: Application of Evolutionary Algorithms for Multi-objective

By M.C. Bhuvaneswari

ISBN-10: 8132219570

ISBN-13: 9788132219576

ISBN-10: 8132235398

ISBN-13: 9788132235392

This publication describes how evolutionary algorithms (EA), together with genetic algorithms (GA) and particle swarm optimization (PSO) can be used for fixing multi-objective optimization difficulties within the quarter of embedded and VLSI process layout. Many complicated engineering optimization difficulties should be modelled as multi-objective formulations. This booklet presents an advent to multi-objective optimization utilizing meta-heuristic algorithms, GA and PSO and the way they are often utilized to difficulties like hardware/software partitioning in embedded platforms, circuit partitioning in VLSI, layout of operational amplifiers in analog VLSI, layout area exploration in high-level synthesis, hold up fault checking out in VLSI checking out and scheduling in heterogeneous dispensed platforms. it really is proven how, in every one case, many of the facets of the EA, specifically its illustration and operators like crossover, mutation, and so on, could be individually formulated to unravel those difficulties. This booklet is meant for layout engineers and researchers within the box of VLSI and embedded method layout. The publication introduces the multi-objective GA and PSO in an easy and simply comprehensible method that might attract introductory readers.

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems by M.C. Bhuvaneswari

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems by M.C. Bhuvaneswari

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