AIM
Obtaining an optimum (in terms of cost and weight) design of reinforced cantilever retaining walls subjected to dynamic loading.
CURRENT STATE OF THE RESEARCH
- Flower Pollination Algorithm is modified with powerful features of Differential Evolution algorithm. The new algorithm is capable of searching for the optimum in a more robust manner than the parent algorithm.
- Sensitivity analyses are performed to find out the phenomena (angle of internal friction, cohesion, backfill slope, etc.) that have major effects on the cost and weight of cantilever retaining walls.
- The performance tests with other metaheuristics reveal that the new algorithm succeeded in finding optimum dimensions better than most of the other algorithms.
- The study shows that further research is needed to examine the efficiency of the new algorithm on different types of retaining walls, such as gravity walls.
