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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Vydané v:	Engineering optimization Ročník 43; číslo 4; s. 417 - 432
Hlavní autori:	Singh, Thangjam Somch, Chakrabarty, Dibakar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 01.04.2011 Taylor & Francis Ltd
Predmet:	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
On-line prístup:	Získať plný text
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