Morphological variation of urban tissues, which evolve through the optimisation of multiple
conflicting objectives, benefit significantly from the application of robust metaheuristic search …

Many real-world problems are dynamic with mul-tiple, often conflicting, objectives, referred
to as dynamic multi-objective optimisation problems (DMOPs). Furthermore, many problems' …

In order to improve the optimization effect of dynamic multiobjective problems (DMOPs), this
paper proposes dynamic multiobjective squirrel search algorithm based on decomposition …

Dynamic multi-objective optimization problems (DMOPs) are optimization problems where
elements of the problems, such as the objective functions and/or constraints, change with …

Most practical optimization problems are comprised of multiple conflicting objectives and
constraints which involve time-consuming simulations. Construction of metamodels of …