Urban design is the process of designing and sha** the physical forms of cities, towns,
and suburbs. It involves the arrangement and design of street systems, groups of buildings …

Most real-world problems involve some type of optimization problems that are often
constrained. Numerous researchers have investigated several techniques to deal with …

When addressing constrained multiobjective optimization problems (CMOPs) via
evolutionary algorithms, various constraints and multiple objectives need to be satisfied and …

Constrained multiobjective optimization problems (CMOPs) involve multiple objectives to be
optimized and various constraints to be satisfied, which challenges the evolutionary …

When solving constrained multiobjective optimization problems (CMOPs), the utilization of
infeasible solutions significantly affects algorithm's performance because they not only …

Balancing between the optimization of objective functions and constraint satisfaction is
essential to handle constrained multi-objective optimization problems (CMOPs). Recently …

Solving multiobjective optimization problems (MOPs) through metaheuristic methods gets
considerable attention. Based on the classical variation operators, several enhanced …

It is challenging to solve constrained multi-objective optimization problems (CMOPs).
Different from the traditional multi-objective optimization problem, the feasibility …

There are usually multiple constraints in constrained multiobjective optimization. Those
constraints reduce the feasible area of the constrained multiobjective optimization problems …

Constrained multiobjective optimization problems (CMOPs) pose great difficulties to the
existing multiobjective evolutionary algorithms (MOEAs), in terms of constraint handling and …