Resource leveling using improved genetic algorithm

The purpose of this research is to use Genetic Algorithm (GA) technique for resource leveling of construction projects. Two different precedence-preserving crossover and mutation operators from the literature will be employed in the GA technique with the objective of evaluating their impact on the performance of the GA technique as measured by the quality of solutions and computation cost. The proposed improvement of GA technique will be conducted by using resource leveling problems as a bed to compare between the performances of the two precedence-preserving operators. The research aims at upgrading the performance of the GA technique in solving scheduling problems in general and recourse leveling problems in particular through upgrading the quality of solutions and reducing the computation cost so it can be used efficiently to solve large size problems.