Genetic Algorithm: An Innovative Technique for Optimizing a Construction Project

Abstract

Time and cost are two basic objectives of any construction project. Optimization of these objectives is the main concern over the last three decades by the construction sectors. Many innovative techniques have been used by the construction companies to optimize the cost and time of a project. Genetic Algorithm (GA) method is one of the most advanced and widely used non-traditional search algorithms based on the mechanics of natural selection and natural genetics. The principle of natural selection is based on the “survival of the fittest” concept coined by Charles Darwin. It is neither an intelligent nor a smart algorithm but it searches for optimal solution in the solution space. The objective is to review GA as an optimizing technique used to generate high-quality solution for optimization process. Reproduction in GA is done by three sophisticated operators—selection, crossover and mutation through which optimal solution is found out only if the condition is true. Hence, GA method is useful optimization process in construction projects. The main advantage present in GA is providing more effective and efficient optimum value in a construction project. Moreover, it also provides optimal trade-off values between project duration and total work done. This concludes that GA can be widely used as an advanced innovative technique for optimization process in future construction project.