Time-cost trade off problem one of the most popular conflict multi objective optimization, which contain two conflict objectives function (time and cost). A set of optimal solutions (largely known as Pareto-optimal solutions) are arise, instead of a single optimal solution. This paper introduces multi-elitism techniques and multi selection processes to guide the genetic algorithm for finding multiple nondominated solutions Pareto front (time-cost trade off curve) that enjoy accuracy, a proximity to optimal Pareto front and diversity, which gives the project managers alternatives to help them make the right decision to implement the project more confidently. The VBA and Julia programming language has been used in writing code for these algorithms and show results.
(2019). ELITIST MULTI-OBJECTIVE GENETIC ALGORITHMS TO SOLVE TIME-COST TRADE OFF PROBLEM IN CONSTRUCTION INDUSTRY. International Journal of Advances in Structural and Geotechnical Engineering, 03(02), 187-197. doi: 10.21608/asge.2019.270782
MLA
. "ELITIST MULTI-OBJECTIVE GENETIC ALGORITHMS TO SOLVE TIME-COST TRADE OFF PROBLEM IN CONSTRUCTION INDUSTRY", International Journal of Advances in Structural and Geotechnical Engineering, 03, 02, 2019, 187-197. doi: 10.21608/asge.2019.270782
HARVARD
(2019). 'ELITIST MULTI-OBJECTIVE GENETIC ALGORITHMS TO SOLVE TIME-COST TRADE OFF PROBLEM IN CONSTRUCTION INDUSTRY', International Journal of Advances in Structural and Geotechnical Engineering, 03(02), pp. 187-197. doi: 10.21608/asge.2019.270782
VANCOUVER
ELITIST MULTI-OBJECTIVE GENETIC ALGORITHMS TO SOLVE TIME-COST TRADE OFF PROBLEM IN CONSTRUCTION INDUSTRY. International Journal of Advances in Structural and Geotechnical Engineering, 2019; 03(02): 187-197. doi: 10.21608/asge.2019.270782
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