ABSTRACT
In general, engineers tend to design efficient systems, i.e. optimum designs. Modern structural design is a crucial step for the engineer to design in the optimum system. Safety is considered one of the most important design criteria, requiring the engineer to manage and design the members of a structure so that the whole structure will provide sufficient safety. The idea behind the mechanics of Genetic Algorithm (GA) is that it simulates the Darwinian principle of 'survival of the fittest' and it is a probabilistic search method in nature. The GA uses binary coding to represent the design variable at its early development. This chapter discusses the optimum design using genetic algorithm, non-dominated sorting genetic algorithm (NSGA-II) and Pareto optimal solution and control algorithms. The Fuzzy Logic Toolbox is an additional software for use with SIMULINK and MATLAB which permit a fuzzy logic controller to be placed within a SIMULINK model.
