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Application of Evolutionary Algorithms for Multi-objective Optimization by M.C. Bhuvaneswari [Repost]
![Application of Evolutionary Algorithms for Multi-objective Optimization by M.C. Bhuvaneswari [Repost]](https://pixhost.icu/avaxhome/6a/10/0035106a.jpeg)
Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems by M.C. Bhuvaneswari
English | Aug 20, 2014 | ISBN: 8132219570 | 181 Pages | PDF | 2 MB
English | Aug 20, 2014 | ISBN: 8132219570 | 181 Pages | PDF | 2 MB
This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic algorithms, GA and PSO and how they can be applied to problems like hardware/software partitioning in embedded systems, circuit partitioning in VLSI, design of operational amplifiers in analog VLSI, design space exploration in high-level synthesis, delay fault testing in VLSI testing and scheduling in heterogeneous distributed systems.