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 />
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