2.1 To improve the search performance of single-objective and multiobjective evolutionary algorithms emphasising for use with structural optimisation
2.2 To integrate an approximate gradient into an evolutionary procedure leading to powerful hybrid evolutionary algorithms.
2.3 To combine efficient existing and newly created evolutionary operators leading to efficient evolutionary algorithms.
2.4 To apply the obtained evolutionary algorithms for truss optimisation e.g. wind turbine towers, wind turbine towers, bridge structures, and roof structures.
2.5 To apply the obtained evolutionary algorithms for frame structural optimisation e.g. design of tri-cycle frames, automotive frames, concrete frames, and billboard structures.
