A Novel Implementation of Nature-inspired Optimization for Civil Engineering: A Comparative Study of Symbiotic Organisms Search
Abstract: The increasing
numbers of design variables and constraints have made many civil engineering
problems significantly more complex and difficult for engineers to resolve in a
timely manner. Various optimization models have been developed to address this
problem. The present paper introduces Symbiotic Organisms Search (SOS), a new
nature-inspired algorithm for solving civil engineering problems. SOS simulates
mutualism, commensalism, and parasitism, which are the symbiotic interaction
mechanisms that organisms often adopt for survival in the ecosystem. The
proposed algorithm is compared with other algorithms recently developed with
regard to their respective effectiveness in solving benchmark problems and
three civil engineering problems. Simulation results demonstrate that the proposed
SOS algorithm is significantly more effective and efficient than the other
algorithms tested. The proposed model is a promising tool for assisting civil
engineers to make decisions to minimize the expenditure of material and
financial resources.
Keywords: Constrained
optimization; nature-inspired; symbiotic organisms search; symbiotic
relationship
Author: Doddy Prayogo,
Min-Yuan Cheng, Handy Prayogo
Journal Code: jptsipilgg170036
