A domain-inspired hyperheuristic for solving complex design problems of automation systems

Automation systems comprise often huge and complex communication networks which save resources such as energy, time, capital and effort for humans. Design of automation systems is often a highly complex problem. For creation of optimal building automation system design, if component variety on the market is considered, there emerge many trade-off design solutions. In our previous work high quality design solutions could be obtained by proposed problem-specific adaptations of multi-objective metaheuristics. In this paper, we propose a new domain-inspired hyperheuristic approach to obtain the majority of optimal solutions in the true Pareto front that concerns evolving variation applications and selection operations.