An Adaptive Penalty Function Method for Constrained Continuous Optimization in Population-Based Meta-Heuristic Optimization Methods

2017 ◽  
Author(s):  
George Anescu
Keyword(s):  
Penalty Function ◽  
Function Method ◽  
Continuous Optimization ◽  
Optimization Methods ◽  
Population Based ◽  
Heuristic Optimization ◽  
Penalty Function Method ◽  
Adaptive Penalty ◽  
Adaptive Penalty Function

An Adaptive Penalty Function Method for Constrained Optimization with Evolutionary Programming

2000 ◽  
Vol 4 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Xinghuo Yu ◽  
◽  
Baolin Wu
Keyword(s):  
Constrained Optimization ◽  
Penalty Function ◽  
Function Method ◽  
Optimization Problems ◽  
Evolutionary Programming ◽  
Benchmark Problems ◽  
Local Optimum ◽  
Penalty Function Method ◽  
Adaptive Penalty ◽  
Adaptive Penalty Function

In this paper, we propose a novel adaptive penalty function method for constrained optimization problems using the evolutionary programming technique. This method incorporates an adaptive tuning algorithm that adjusts the penalty parameters according to the population landscape so that it allows fast escape from a local optimum and quick convergence toward a global optimum. The method is simple and computationally effective in the sense that only very few penalty parameters are needed for tuning. Simulation results of five well-known benchmark problems are presented to show the performance of the proposed method.

An objective penalty function method for biconvex programming

2021 ◽  
Author(s):  
Zhiqing Meng ◽  
Min Jiang ◽  
Rui Shen ◽  
Leiyan Xu ◽  
Chuangyin Dang
Keyword(s):  
Penalty Function ◽  
Function Method ◽  
Penalty Function Method ◽  
Objective Penalty Function
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