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An Improved Adaptive Differential Evolution Approach for Constrained Optimization Problems
- Source :
- CSCWD
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- As the complexity of the real-world engineering problems increases, numerous efficient constraint-handling methods and optimization algorithms have emerged recently. However, the majority of the research consider the constraint-handling method and the optimization algorithm independently. In this paper, we propose a constraint-based mutation operator, in which the constraint violation and objective function are considered simultaneously. We define the pbest individuals as the best in top 5% constraint violators if all the individuals are infeasible. In this way, we could guide the population move towards the feasible region. Two real-world engineering applications are used to test the performance of the I $\varepsilon$ JADE. Compared with the state-of-the-art algorithms, the experimental results illustrate the effectiveness of the I $\varepsilon$ JADE algorithm, which also exhibits a fast convergence rate in terms of computation efficiency.
- Subjects :
- 050101 languages & linguistics
Mathematical optimization
education.field_of_study
Computer science
Computation
05 social sciences
Feasible region
Population
Constrained optimization
JADE (programming language)
02 engineering and technology
Constraint (information theory)
Rate of convergence
Differential evolution
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
education
computer
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
- Accession number :
- edsair.doi...........c2c23c734807fff1f2e3655c6758e9d0