Expert knowledge in long-term groundwater monitoring optimization process: The interactive genetic algorithm perspective

Meghna Babbar, Barbara Minsker, Hideyuki Takagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In most practical water resources optimization applications, a number of important subjective issues exist that cannot be represented in numerical optimization procedures. Considering these issues only in a post-optimization analysis of solutions by the expert (engineers, stakeholders, regulators, etc.) does not ensure that the final set of optimal designs address all qualitative issues important to the problem. The Interactive Genetic Algorithm (IGA) promises to overcome these hurdles by involving the expert directly in the online search process to steer the genetic algorithm to a solution or set of solutions that address both quantitative and qualitative criteria. This paper investigates the effect on the overall search process when a single user interacts with the IGA system. Some of the salient control parameters that affect performance of such a framework are algorithmic control parameters (i.e. the GA settings, visualization interfaces, etc.), human control parameters (i.e. the user's cognitive perception, user's degree of risk aversion, human fatigue, etc.), and external control parameters (i.e. environmental noise and uncertainty, etc.). This work begins a rigorous assessment of the effects of different control parameters on the IGA search process by simulating the human decision making process using fuzzy logic models of human preferences as 'pseudo humans'. Comparison of such a system with a conventional optimization framework (that lacks progressive user feedback) is made for a long-term groundwater monitoring optimization problem, and related ramifications are highlighted. Copyright ASCE 2005.

Original languageEnglish
Title of host publicationWorld Water Congress 2005
Subtitle of host publicationImpacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress
Number of pages1
DOIs
Publication statusPublished - Dec 1 2005
Event2005 World Water and Environmental Resources Congress - Anchorage, AK, United States
Duration: May 15 2005May 19 2005

Publication series

NameWorld Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress

Other

Other2005 World Water and Environmental Resources Congress
CountryUnited States
CityAnchorage, AK
Period5/15/055/19/05

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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    Babbar, M., Minsker, B., & Takagi, H. (2005). Expert knowledge in long-term groundwater monitoring optimization process: The interactive genetic algorithm perspective. In World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress (World Water Congress 2005: Impacts of Global Climate Change - Proceedings of the 2005 World Water and Environmental Resources Congress). https://doi.org/10.1061/40792(173)340