Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to
look at the engineering problems as multi-objective optimization problems. This paper briefly …

The quick rise of intelligent technologies promotes the development of the construction
industry into a new phase. As an advanced cement-based materials, ultra-high performance …

This paper presents an AI-guided approach to automatically discover low-carbon cost-
effective ultra-high performance concrete (UHPC). The presented approach automates data …

Supported by the combination of the advanced BIM technique with intelligent algorithms, this
paper develops a systematic framework using explainable machine learning and multi …

Maximising the content of supplementary cementitious materials as a partial replacement for
Portland cement and using recycled concrete aggregates as a full or partial replacement for …

A multicollinearity-aware multi-objective optimisation (MA-MOO) framework was developed
to minimise the main environmental issues and the cost of production of green concrete …

Various real-world problems can be attributed to constrained multiobjective optimization
problems (CMOPs). Although there are various solution methods, it is still very challenging …

A key idea in many-objective optimization is to approximate the optimal Pareto front using a
set of representative non-dominated solutions. The produced solution set should be close to …

A real-world multiobjective optimization problem (MOP) usually has differently scaled
objectives. Objective space normalization has been widely used in multiobjective …

Sustainable energy is a key component of sustainable development. The current grid can be
supplied by fossil fuel generators and renewable energy sources (RESs)-based generators …