A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization
This addresses optimization challenges in engineering design, but it is incremental as it builds on existing metaheuristic approaches.
The paper tackled constrained engineering optimization problems by proposing Drone Squadron Optimization (DSO), a novel metaheuristic, and found it to be competitive with popular methods on three engineering design problems.
Several constrained optimization problems have been adequately solved over the years thanks to advances in the metaheuristics area. In this paper, we evaluate a novel self-adaptive and auto-constructive metaheuristic called Drone Squadron Optimization (DSO) in solving constrained engineering design problems. This paper evaluates DSO with death penalty on three widely tested engineering design problems. Results show that the proposed approach is competitive with some very popular metaheuristics.