Application Of Evolutionary Algorithms For Multi-Objective Optimization By M.C. Bhuvaneswari

Application Of Evolutionary Algorithms For Multi-Objective Optimization By M.C. Bhuvaneswari
by M.C. Bhuvaneswari / / / PDF


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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.

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