Chance-constrained multi-objective programming for optimal multi-layer aquifer remediation design

Groundwater remediation works are expensive, complex in nature, and generally involve uncertain design parameters and multiple conflicting objectives. Reduction in remediation cost is, normally, the primary objective of optimal remediation designs. Remediation time has significant influence on remed...

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Bibliographic Details
Published in:	Engineering optimization Vol. 43; no. 4; pp. 417 - 432
Main Authors:	Singh, Thangjam Somch, Chakrabarty, Dibakar
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01.04.2011 Taylor & Francis Ltd
Subjects:	Aquifers Cost engineering Decision making evolutionary algorithms Exploration Groundwater Groundwater remediation Mathematical models Mathematical programming multi-objective optimization Multilayers numerical models Optimization Optimization algorithms Programming remedial action Remediation Uncertainty
ISSN:	0305-215X, 1029-0273
Online Access:	Get full text
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