Optimization of resource allocation in construction using genetic algorithms

Abstract

Resources for activities in construction project are limited in the real-life world. So resource allocation is of great importance to construction project management to avoid the waste and shortage of resources on a construction project. This paper presents a genetic algorithm model for resource allocation. Compared to the traditional crossover methods, the proposed model develops a new crossover operator to avoid producing illegal chromosomes. The model can effectively provide the optimum solution to resource allocation problem. An illustrative example is presented to demonstrate the performance of the proposed approach.