An Improved C2oDE based on Stochastic Ranking

How to balance diversity and convergence as well as constraint violation and objective function in Constrained Optimization Problems (COPs) is an important and key issue when designing a new Constrained Optimization Evolutionary Algorithms (COEAs). C 2 oDE set a good example on this point, and obtai...

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Published in:Chinese Control Conference pp. 2414 - 2418
Main Authors: Si, Chengyong, Shen, Jianqiang, Wang, Chaofeng, Wang, Lei
Format: Conference Proceeding
Language:English
Published: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
Subjects:
Benchmark testing
constrained optimization
Constraint handling
Convergence
Deb's feasibility-based rule
Evolutionary computation
Linear programming
Optimization
Stochastic ranking
ε-constrained method
ISSN:1934-1768
Online Access:Get full text
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Abstract How to balance diversity and convergence as well as constraint violation and objective function in Constrained Optimization Problems (COPs) is an important and key issue when designing a new Constrained Optimization Evolutionary Algorithms (COEAs). C 2 oDE set a good example on this point, and obtains promising results. In C 2 oDE, the two Constraint Handling Techniques (CHTs) are adopted fixed in two phases. To verify whether there are some other more efficient combinations, Stochastic Ranking (SR) is adopted to balance the combination. Experimental results show a good performance, which also give some inspiration for other research.
AbstractList How to balance diversity and convergence as well as constraint violation and objective function in Constrained Optimization Problems (COPs) is an important and key issue when designing a new Constrained Optimization Evolutionary Algorithms (COEAs). C 2 oDE set a good example on this point, and obtains promising results. In C 2 oDE, the two Constraint Handling Techniques (CHTs) are adopted fixed in two phases. To verify whether there are some other more efficient combinations, Stochastic Ranking (SR) is adopted to balance the combination. Experimental results show a good performance, which also give some inspiration for other research.
Author Si, Chengyong
Wang, Lei
Shen, Jianqiang
Wang, Chaofeng
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  givenname: Jianqiang
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  organization: University of Shanghai for Science and Technology,Sino-German College,Shanghai,200093
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  givenname: Lei
  surname: Wang
  fullname: Wang, Lei
  email: wanglei@tongji.edu.cn
  organization: Tongji University,College of Electronics and Information Engineering,Shanghai,China,201804
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Snippet How to balance diversity and convergence as well as constraint violation and objective function in Constrained Optimization Problems (COPs) is an important and...
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SubjectTerms Benchmark testing
constrained optimization
Constraint handling
Convergence
Deb's feasibility-based rule
Evolutionary computation
Linear programming
Optimization
Stochastic ranking
ε-constrained method
Title An Improved C2oDE based on Stochastic Ranking
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