309 citations · 661 across the 15 of their papers we have counts for
7 papers · 1 filter
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Zhaojun Wang, Wenji Li +6
In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversit…
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
Zhun Fan, Wenji Li, Zhaojun Wang +6
This paper proposes a push and pull search method in the framework of differential evolution (PPS-DE) to solve constrained single-objective optimization problems (CSOPs). More spec…
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
Zhun Fan, Yi Fang, Wenji Li +3
This paper proposes a novel constraint-handling mechanism named angle-based constrained dominance principle (ACDP) embedded in a decomposition-based multi-objective evolutionary al…
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +5
This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the proposed PPS divides the…
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions
Zhun Fan, Wenji Li, Xinye Cai +6
This paper proposes an improved epsilon constraint-handling mechanism, and combines it with a decomposition-based multi-objective evolutionary algorithm (MOEA/D) to solve constrain…
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Zhun Fan, Wenji Li, Xinye Cai +5
Multi-objective evolutionary algorithms (MOEAs) have progressed significantly in recent decades, but most of them are designed to solve unconstrained multi-objective optimization p…
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +3
In this paper, we design a set of multi-objective constrained optimization problems (MCOPs) and propose a new repair operator to address them. The proposed repair operator is used…