An optimization problem which has more than one objective is defined as multiobjective optimization problem. For example, the first five fundamental frequencies of a structure must be maximized when the total weight or volume of a structure must be minimized. However, both the time and cost for construction projects must be at a minimum at the same time. In addition, a construction project may have three objective functions such as time, cost, and quality. In order to solve such a type of problem, multiobjective optimization (MOO) techniques are preferred to find nondominated solutions or Pareto-optimal solutions.

The first implementation of evolutionary algorithms in MOO was in the 1980s, and since then many studies have been carried out applying different MOO techniques to civil engineering problems, for example, project managers trying to minimize project time, cost, and carbon dioxide emissions as well as maximizing the quality of project and its plan robustness at the same time. The MOO of reinforced concrete (RC) retaining walls, including total cost and embedded CO2 emissions, is studied in the geotechnical department of civil engineering. The economic cost, constructability, environmental impact, and the overall safety of RC framed structures are used for the MOO of the structural design.

This special issue aims to focus on the implementation of evolutionary algorithms in the MOO of civil engineering problems and the application of these. Both original research and review articles are welcomed.

Potential topics include but are not limited to the following:

• MOO algorithms and techniques used in civil engineering problems
• Decision-making problems in MOO for civil engineering problems
• MOO of construction schedules
• Nondominated solutions for the MOO
• Pareto-optimal solutions for MOO in civil engineering structures
• Hybrid algorithms for MOO
• Comparative studies of MOO used in civil engineering problems
• Development of metaheuristic algorithms for MOO for civil engineering
• Evolutionary MOO methods applied to real-world problems in civil engineering