Differential evolution using novel individual evaluation and constraint handling techniques for constrained optimization

2021 ◽  
Author(s):  
Erping Song ◽  
Hecheng Li
Keyword(s):  
Differential Evolution ◽  
Constrained Optimization ◽  
Constraint Handling ◽  
Individual Evaluation

Constraint handling in constrained optimization of a storage ring multi-bend-achromat lattice

2021 ◽  
Vol 988 ◽  
pp. 164890 ◽  
Author(s):  
Jianhao Xu ◽  
Penghui Yang ◽  
Gangwen Liu ◽  
Zhenghe Bai ◽  
Weimin Li
Keyword(s):  
Constrained Optimization ◽  
Storage Ring ◽  
Constraint Handling

scholarly journals Composite Differential Evolution with Modified Oracle Penalty Method for Constrained Optimization Problems

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Minggang Dong ◽  
Ning Wang ◽  
Xiaohui Cheng ◽  
Chuanxian Jiang
Keyword(s):  
Differential Evolution ◽  
Constrained Optimization ◽  
Penalty Function ◽  
Optimization Problems ◽  
Real Life ◽  
Optimization Criterion ◽  
Constrained Optimization Problems ◽  
Constraints Handling ◽  
Efficient Alternative ◽  
Handling Methods

Motivated by recent advancements in differential evolution and constraints handling methods, this paper presents a novel modified oracle penalty function-based composite differential evolution (MOCoDE) for constrained optimization problems (COPs). More specifically, the original oracle penalty function approach is modified so as to satisfy the optimization criterion of COPs; then the modified oracle penalty function is incorporated in composite DE. Furthermore, in order to solve more complex COPs with discrete, integer, or binary variables, a discrete variable handling technique is introduced into MOCoDE to solve complex COPs with mix variables. This method is assessed on eleven constrained optimization benchmark functions and seven well-studied engineering problems in real life. Experimental results demonstrate that MOCoDE achieves competitive performance with respect to some other state-of-the-art approaches in constrained optimization evolutionary algorithms. Moreover, the strengths of the proposed method include few parameters and its ease of implementation, rendering it applicable to real life. Therefore, MOCoDE can be an efficient alternative to solving constrained optimization problems.

Constraint-handling techniques within differential evolution for solving process engineering problems

2021 ◽  
pp. 107442
Author(s):  
Victor H. Cantú ◽  
Catherine Azzaro-Pantel ◽  
Antonin Ponsich
Keyword(s):  
Differential Evolution ◽  
Process Engineering ◽  
Constraint Handling ◽  
Engineering Problems

Adaptive boundary constraint-handling scheme for constrained optimization

2018 ◽  
Vol 23 (17) ◽  
pp. 8247-8280 ◽  
Author(s):  
Efrén Juárez-Castillo ◽  
Héctor-Gabriel Acosta-Mesa ◽  
Efrén Mezura-Montes
Keyword(s):  
Constrained Optimization ◽  
Constraint Handling ◽  
Boundary Constraint

scholarly journals A Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems

2018 ◽  
Author(s):  
Maria-Yaneli Ameca-Alducin ◽  
Maryam Hasani-Shoreh ◽  
Wilson Blaikie ◽  
Frank Neumann ◽  
Efren Mezura-Montes
Keyword(s):  
Constrained Optimization ◽  
Optimization Problems ◽  
Constraint Handling ◽  
Constrained Optimization Problems
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