Standard interactive genetic algorithm - Comprehensive optimization framework for groundwater monitoring design

Meghna Babbar-Sebens, Barbara S Minsker

Research output: Contribution to journalArticlepeer-review

Abstract

Optimization for water resources management typically requires many simplifying assumptions about the definition and characteristics of the policy or design application in order to express decision makers' criteria as mathematical objectives and constraints. However, real-world applications often involve important subjective information that cannot be reflected in mathematical expressions accurately or completely. This can result in mathematically optimized solutions that are less meaningful or desirable to decision makers. To address this issue, this paper presents the standard interactive genetic algorithm (SIGA) methodology that enables human decision makers to effectively analyze subjective information that is not easily quantifiable and make decisions about the quality of a design based on their preferences. These decisions are used as continuous run-time subjective feedback, along with the mathematically defined objectives and constraints, to search for optimal designs that reflect both quantitative and qualitative objectives. Although this interactive optimization methodology is applicable for any water resources planning and management problems, this paper focuses on exploring the benefits of such an approach within the domain of groundwater monitoring design. Systematic procedures and guidelines for designing a SIGA are presented, along with proposed strategies for improving the performance of SIGA. The SIGA approach is also compared with a noninteractive genetic algorithm strategy for a real-world application, and the advantages and limitations of the interactive strategy are examined.

Original languageEnglish (US)
Pages (from-to)538-547
Number of pages10
JournalJournal of Water Resources Planning and Management
Volume134
Issue number6
DOIs
StatePublished - Oct 27 2008

Keywords

  • Computation
  • Decision making
  • Groundwater management
  • Interactive systems
  • Monitoring
  • Optimization
  • Water resources

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

Fingerprint Dive into the research topics of 'Standard interactive genetic algorithm - Comprehensive optimization framework for groundwater monitoring design'. Together they form a unique fingerprint.

Cite this