MULTI-OBJECTIVE OPTIMIZATION OF STEEL FLOORS AGAINST COST AND EMBODIED ENERGY

Abstract

This thesis takes the advantage of evolutionary optimization algorithms to use it in finding the optimal layouts for steel floors against cost and embodied energy through making a program that can do this task. Effort is made to acquire embodied energy values for common structural materials in Egypt to be used along with the cost data according to the Egyptian market in finding the optimal layouts. The program is tested on three case studies and the results are analyzed to successfully give recommendations to structural engineers in order to obtain near optimum solutions for their design without using the program.