相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
Ye Tian et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit
Zhun Fan et al.
EVOLUTIONARY COMPUTATION (2020)
Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables
Faezeh Samanipour et al.
APPLIED SOFT COMPUTING (2020)
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy
Qingling Zhu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization
Ke Li et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach
Wei Du et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization
Jiahai Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
An adaptive decomposition-based evolutionary algorithm for many-objective optimization
Dong Han et al.
INFORMATION SCIENCES (2019)
An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions
Zhun Fan et al.
SOFT COMPUTING (2019)
FSB-EA: Fuzzy search bias guided constraint handling technique for evolutionary algorithm
Zhiyong Li et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces
Zhi-Zhong Liu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
Push and pull search for solving constrained multi-objective optimization problems
Zhun Fan et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems
Zhun Fan et al.
APPLIED SOFT COMPUTING (2019)
Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons
Zhongwei Ma et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
A Multi-Objective Optimization Approach to Risk-Constrained Energy and Reserve Procurement Using Demand Response
Nikolaos G. Paterakis et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2018)
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Ye Tian et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2017)
A Fuzzy Rule-Based Penalty Function Approach for Constrained Evolutionary Optimization
Chiranjib Saha et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems
Licheng Jiao et al.
APPLIED SOFT COMPUTING (2014)
Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
Zhenan He et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach
Himanshu Jain et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
Exploration and Exploitation in Evolutionary Algorithms: A Survey
Matej Crepinsek et al.
ACM COMPUTING SURVEYS (2013)
A study of two penalty-parameterless constraint handling techniques in the framework of MOEA/D
Muhammad Asif Jan et al.
APPLIED SOFT COMPUTING (2013)
A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications
Antonin Ponsich et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2013)
Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods
B. Y. Qu et al.
ENGINEERING OPTIMIZATION (2011)
Constraint Handling in Multiobjective Evolutionary Optimization
Yonas Gebre Woldesenbet et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
The balance between proximity and diversity in multiobjective evolutionary algorithms
PAN Bosman et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
分享论文
