A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization

By Zixing Cai, Yong Wang. IEEE Transactions on Evolutionary Computation, 2006

409 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/9b46c711effc074039fa8a9606717eb5f1cb6c51

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yaochu Jin
2. Handing Wang
3. Qingfu Zhang
4. Xing-yi Zhang
5. Ye Tian
6. Yong Wang
7. Ran Cheng
8. Kalyanmoy Deb

In Computational Theory and Mathematics

1. Yaochu Jin
2. Handing Wang
3. Xing-yi Zhang
4. Qingfu Zhang
5. Ye Tian
6. Yong Wang
7. Ran Cheng
8. Kalyanmoy Deb

Citations in the corpus

• Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces (2019, background): “…constraints in [41] have been well-studied during the past 12 years and we have already carried out a series of work to ascertain their properties [42]–[44] and 2) the minimum value of g ( x ) under the decision constraints can be obtained by employing a powerful constrained single-objective EA,…”
• A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems (2020, background): “2) Stochastic Ranking Using Two Selection Criteria: It has been shown that the performance of handling constraints in SAEAs can be improved by converting constrained MOPs into unconstrained MOPs [71], [72], namely, constraints in (1) can be seen as additional objectives [44] as follows:”
• Optimal Protection Coordination for Microgrids With Grid-Connected and Islanded Capability (2013, methodology): “In this paper, the method of static penalties is implemented [27].”
• Differential evolution with dynamic stochastic selection for constrained optimization (2008, methodology): “Nevertheless, the Pareto dominance concept has been successfully used in the approach by Cai and Wang [ 17 ].”
• Biogeography-Based Optimization (2008, background): “functions, including their domains, can be found in [8], [30], and [31].”
• Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization (2010, methodology): “Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization Hui Liu, Zixing Cai, Yong Wang * School of Information Science and Engineering, Central South University, Changsha 410083, People’s Republic of China A R T I C L E I N F O Artic”
• Push and Pull Search for Solving Constrained Multi-objective Optimization Problems (2017, methodology): “Representative examples include Cai and WangâĂŹs Method (CW) [16] and the in-feasibility driven evolutionary algorithms (IDEA) [17].”
• Truss optimization on shape and sizing with frequency constraints based on parallel genetic algorithm (2011, methodology): “At present, there also exist many other excellent constraints handling methods, such as stochastic ranking method (Runarsson and Yao 2000) and multiobjective optimization techniques ( Cai and Wang 2006 ).”