With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Constrained multiobjective optimization problems (CMOPs) are frequently encountered in
real-world applications, which usually involve constraints in both the decision and objective …

Solving constrained multiobjective optimization problems brings great challenges to an
evolutionary algorithm, since it simultaneously requires the optimization among several …

Solving constrained multiobjective optimization problems (CMOPs) with various features
and challenges via evolutionary algorithms is very popular. Existing methods usually adopt …

In dealing with expensive constrained multi-objective optimization problems using surrogate-
assisted evolutionary algorithms, it is a great challenge to reduce the negative impact …

This article presents a new constraint-handling technique (CHT), called shift-based penalty
(ShiP), for solving constrained multiobjective optimization problems. In ShiP, infeasible …

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

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

Service‐oriented architecture is becoming a major software framework for complex
application and it can be dynamically and flexibly composed by integrating existing …

Solving constrained multi-objective optimization problems (CMOPs) is one of the most
popular research topics in the multi-objective optimization community. Various approaches …