Numerical comparison of some penalty-based constraint handling techniques in genetic algorithms
From MaRDI portal
Publication:1430179
DOI10.1023/A:1026065325419zbMath1046.90106OpenAlexW1524742142MaRDI QIDQ1430179
Marko M. Mäkelä, Jari Toivanen, Kaisa M. Miettinen
Publication date: 27 May 2004
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1026065325419
Numerical optimization and variational techniques (65K10) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (19)
A modified real coded genetic algorithm for constrained optimization ⋮ Balancing mixed-model assembly lines with sequence-dependent tasks via hybrid genetic algorithm ⋮ A new crossover operator for real coded genetic algorithms ⋮ A penalty function-based differential evolution algorithm for constrained global optimization ⋮ A robust parameter design for multi-response problems ⋮ Constraint handling techniques for metaheuristics: a state-of-the-art review and new variants ⋮ An electromagnetism-like method for nonlinearly constrained global optimization ⋮ Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem ⋮ Mean-based Borda count for paradox-free comparisons of optimization algorithms ⋮ Experiments with classification-based scalarizing functions in interactive multiobjective optimization ⋮ Numerical solution to the optimal feedback control of continuous casting process ⋮ Geometricity of genetic operators for real-coded representation ⋮ A computational study on different penalty approaches for solving constrained global optimization problems with the electromagnetism-like method ⋮ Quasi-random initial population for genetic algorithms ⋮ A new mutation operator for real coded genetic algorithms ⋮ Improved versions of the LEDE algorithm for constrained global optimization ⋮ A local exploration-based differential evolution algorithm for constrained global optimization ⋮ Homogeneous genetic algorithms ⋮ Synchronous approach in interactive multiobjective optimization
Uses Software
This page was built for publication: Numerical comparison of some penalty-based constraint handling techniques in genetic algorithms
