Non-dominated sorting multi-objective optimization algorithms can constantly lead to the population of Pareto front optimal. However, the non-dominated sorting strategy lacks high capability to ...

Dynamic interval multi-objective optimization problems, such as those encountered in wireless sensor network scheduling and portfolio selection, are increasingly prevalent. However, they present ...

Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

To address this issue, we propose a novel robust multi-objective evolutionary optimization algorithm based on the concept of survival rate. The algorithm comprises two stages: the evolutionary ...

Keywords: evolutionary computation, constrained optimization, sequence optimization, co-evolutionary algorithms, multi-obj ective optimization problems. Citation: Zhang J, Yue H, Wang Y, Guo R and ...

Keywords: multi-objective evolutionary algorithm, channel selection, two-stage framework, sparse initialization, score assignment strategy. Citation: Liu T, Wu Y, Ye A, Cao L and Cao Y (2024) ...