Author:Helbig, M; Engelbrecht, APDate:Jun 2013Dynamic multi-objective optimisation problems (DMOOPs) have more than one objective, with at least one objective changing over time. Since at least two of the objectives are normally in conflict with one another, a single solution does not ...Read more
Author:Helbig, M; Engelbrecht, APDate:Jun 2013When algorithms solve dynamic multi-objective optimisation problems (DMOOPs), benchmark functions should be used to determine whether the algorithm can overcome specific difficulties that can occur in real-world problems. However, for dynamic ...Read more
Author:Greeff, M; Engelbrecht, APDate:2010Optimisation problems occur in many situations and aspects of modern life. In reality, many of these problems are dynamic in nature, where changes can occur in the environment that influences the solutions of the optimisation problem. Many ...Read more