Constraint Handling for Genetic Algorithms in Optimal Remediation Design
By A. C. Hilton, T. Culver. 2000
113 citations recorded by the source corpus.
Subfields: Environmental Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/435608975d6e9fb02df791f2ffcb460c4eb062c3
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In Environmental Engineering
In Ocean Engineering
Citations in the corpus
- Development of a real-time, near-optimal control process for water-distribution networks (2006, methodology): “A detailed description of the MPM method and others can be found in the paper by Hilton & Culver (2000).”
- Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones (2004, methodology): “Given that a restriction of an objective function to the feasible decision space would result in a discontinuity at the minimal pumping rate of a given well configuration that hampers the applicability of most optimization algorithms, penalty functions are usually employed to transfer the constraint”
- Irrigation planning using Genetic Algorithms (2004, methodology): “Hilton and Culver (2000) compared two methods – additive penalty method (APM) and multiplicative penalty method (MPM) – for constraint handling within the genetic algorithm framework.”