Could you please explain about Multi Story Building Optimiza

Solution

\" Multi Story Building Optimization using MATLAB \"

There are a number of models and methods developed to assess conditions and support decisions pertaining to building retrofit.It has always been a human desire to create taller and taller structures so in recent days there is a considerable increase in the high rise buildings and the modern development is headed for more tall and slender structures. Every structural engineer is met with the problem of giving sufficient strength and stability of these tall buildings against lateral load thus the effect of lateral loads like wind loads, earth quick loads and blast forces are attaining escalating importance. For the reason of the
accessibility and availability of developed software in engineering design activities, optimization algorithms are becoming more popular. Wide applications of this kind of
software are in the design engineering problems where a specific goal is to minimize or maximize a certain
parameters. Design engineers need to design buildings, bridge, dams and other structures, in these design process it is necessary to reach a maximum protection or minimum rate or both, so in these cases optimization algorithms have wide applications. Optimization technique plays a main role in reaching economy, which is an important factor next only to safety. Optimization of
Complex buildings is very difficult when variable interaction increase. GA is famous for handling global
optimization problems when several local optimal are presenting a non-continuous fitness landscape. GAs is a type of optimization algorithms they are used to find the optimal solution to a given computational problem that maximizes or minimizes a particular function and these are function optimizers.

The most important objectives of present study include:
->To analyze the multi-storey building with shear wall using Equivalent static method.
-> Make the objective function to minimize the lateral displacement of the multi-storey building
during earthquake.
-> Optimum location effects of shear wall in multistorey building which are subjected to lateral
loads.

The input for genetic algorithm are programmed as,
1. Number of variables of objective function,
2. Number of generations,
3. Number of individuals per sub-population,
4. Name of selection function: In selection, we have considered roulette wheel selection (rws).
5. Name of cross over function: For crossover we have considered general multi-point crossover (Xovmp).
6. Name of mutation function: In this, we have considered discrete mutation function (mut).
7. The program is joined with analysis program and genetic algorithm program to calculate the
objective fitness in MATLAB.
8. The operators of genetic algorithm are selection of fit individuals; crossover and mutations are
formulated in the program.
9. The generations are continued until all the constraints and the objective function are satisfied.