This contribution describes a formulation of the optimized design of structures using the probability-based optimization method. The Monte Carlo simulation method, modified by the Latin Hypercube Sampling (LHS) method, was used for the calculation of the reliability of a designed structure. Efficient design procedures can achieve not only cost savings during construction (materials and energy), erection, servicing, maintenance, disassembly and material recycling but also a more favourable environmental impact. To find the best possible design for a structure an original optimization method was used. Therefore, the economical and ecological aspects (acquisition costs, CO2 and SO2 emissions and embodied energy associated with concrete member production) were taken into account in the objective function. A design example – a prestressed spun concrete pole made from reinforced concrete or alternatively from reinforced fibre concrete is presented.