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Application of Genetic Algorithm in Multi-objective Optimization

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1.3 Organization <strong>of</strong> the Thesis:<br />

The thesis is organized <strong>in</strong> the follow<strong>in</strong>g five chapters:<br />

<br />

Chapter 1: In Chapter 1, the <strong>in</strong>troduction, <strong>objective</strong>s <strong>of</strong> the thesis and limitation are<br />

discussed.<br />

<br />

Chapter 2: Relevant theoretical background is described <strong>in</strong> this chapter which covers the<br />

basic concept <strong>of</strong> optimization, s<strong>in</strong>gle and multi-<strong>objective</strong> optimization, classical and<br />

evolutionary methods <strong>of</strong> solv<strong>in</strong>g optimization problems, fundamentals <strong>of</strong> GAs, application<br />

<strong>of</strong> GAs <strong>in</strong> constra<strong>in</strong>ed optimization and structural optimization problems etc. This chapter<br />

provides a brief idea about the contextual reason<strong>in</strong>g <strong>of</strong> the thesis.<br />

<br />

<br />

<br />

Chapter 3: The methodology to carry on the work is discussed <strong>in</strong> this chapter.<br />

Chapter 4: The results obta<strong>in</strong>ed from the observation are illustrated and analyzed here.<br />

Chapter 5: Based on the f<strong>in</strong>d<strong>in</strong>gs, the conclusion <strong>of</strong> the work will be abridged and future<br />

scope <strong>of</strong> the work will be discussed.<br />

16

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