Evolutionary algorithm based on penalty function is a new kind of efficient method for constrained optimization problems, however, the penalty parameters ...

This paper introduces a continuous penalty evolutionary algorithm for con- strained optimization. A new constraint handling scheme is first introduced based on ...

Abstract: Penalty functions are often used to handle constraints for constrained optimization problems in evolutionary algorithms.

Oct 22, 2024 · To effectively handle constraints, this study hybridizes a novel genetic algorithm with the rough set theory, called the rough penalty genetic ...

Apr 4, 2023 · In these rules, interior penalty functions are used to evaluate feasible solutions and constraint violations are used to evaluate infeasible ...

Aug 20, 2013 · To effectively handle constraints, this study hybridizes a novel genetic algorithm with the rough set theory, called the rough penalty genetic ...

This paper presents a population-based evolutionary computation model for solving continuous constrained nonlinear optimization problems.

We propose a differential evolution-based algorithm for constrained global optimization. Although differential evolution has been used as the underlying ...

Oct 22, 2024 · We show that the algorithm is provably robust for both linear and nonlinear problems and constraints. FEAs use a finite pattern of mutation ...

This paper proposes an adaptive fuzzy penalty method to address this issue, where the coefficient is adjusted at both the individual level and the population ...