Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
The population-based evolutionary algorithms have emerged as
powerful mechanism for finding optimum solutions of complex
optimization problems. A promising new evolutionary
algorithm, differential evolution, has garnered significant
attention in the engineering optimization research. Differential
evolution has the advantage of incorporating a relatively simple
and efficient form of mutation and crossover. This paper aims
at introducing differential evolution as an alternative approach
for topology optimization of truss and continuous structure
with stress and displacement constraints. In comparison the
results with other studies, it shows that differential evolution
algorithms are very effective and efficient in solving topology
optimization problem of structure.
