scholarly journals Identification of the Aquifer Parameters from Pumping Test Data by Using a Hybrid Optimization Approach

10.29007/11v5 ◽  
2018 ◽  
Author(s):  
M. Tamer Ayvaz ◽  
Gurhan Gurarslan
Keyword(s):  
Test Data ◽  
Harmony Search ◽  
Pumping Test ◽  
Hybrid Optimization ◽  
Optimization Approach ◽  
Confined Aquifers ◽  
Reduced Gradient ◽  
Generalized Reduced Gradient ◽  
The Given ◽  
Search Capability

The main objective of this study is to propose a linked simulation-optimization approach to determine the parameters of the confined and leaky-confined aquifers from the results of the pumping tests. In the simulation part of the proposed approach, the drawdowns at the given monitoring points and times are calculated by considering Theis and Hantush approaches for confined and leaky-confined aquifers, respectively. This simulation part is then integrated with a hybrid optimization approach where global exploration feature of the harmony search (HS) and strong local search capability of the generalized reduced gradient (GRG) approach of the spreadsheet Solver add-in are mutually integrated. The performance of the proposed approach is evaluated by considering two pumping test data for the confined and leaky-confined aquifers. Identified results indicated that the hybrid HS-Solver optimization approach provides better results than those obtained by using both curve matching and stand-alone HS approaches.

A hybrid optimization approach for parameter estimation of confined and leaky confined aquifers

2019 ◽  
Vol 19 (8) ◽  
pp. 2359-2366 ◽  
Author(s):  
M. Tamer Ayvaz ◽  
Gurhan Gurarslan
Keyword(s):  
Parameter Estimation ◽  
Pumping Test ◽  
Hybrid Optimization ◽  
Optimization Approach ◽  
De Algorithm ◽  
Aquifer Parameter ◽  
Confined Aquifers ◽  
Estimation Problems ◽  
Reduced Gradient ◽  
Generalized Reduced Gradient

Abstract The main objective of this study is to propose a linked simulation–optimization approach for solving aquifer parameter estimation problems from pumping test results. In the simulation part of the proposed approach, the drawdowns at given monitoring points and times are calculated by considering the Theis and Hantush approaches for confined and leaky confined aquifers, respectively. This simulation part is then integrated to a newly proposed hybrid optimization approach, namely DE–Solver, which integrates the differential evolution (DE) algorithm and generalized reduced gradient (GRG) method of the spreadsheet Solver add-in. The performance of the proposed approach is evaluated by considering two pumping test data for confined and leaky confined aquifers. Identified results indicate that the proposed approach provides better results than those obtained by using different approaches in the literature.

scholarly journals Parameter Identification Procedures of Pumping Test Data in Confined Aquifers

1989 ◽  
Vol 29 (2) ◽  
pp. 159-168 ◽  
Author(s):  
Iichiro Kono ◽  
Makoto Nishigaki ◽  
Yuji Takeshita
Keyword(s):  
Parameter Identification ◽  
Test Data ◽  
Pumping Test ◽  
Confined Aquifers ◽  
Identification Procedures

A HYBRID OPTIMIZATION METHOD BASED ON DIFFERENTIAL EVOLUTION AND HARMONY SEARCH

2014 ◽  
Vol 13 (01) ◽  
pp. 1450001 ◽  
Author(s):  
X. Z. GAO ◽  
X. WANG ◽  
S. J. OVASKA ◽  
K. ZENGER
Keyword(s):  
Local Search ◽  
Differential Evolution ◽  
Optimization Problems ◽  
Convergence Property ◽  
Harmony Search ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Benchmark Problems ◽  
Nature Inspired Computing ◽  
Search Capability

The differential evolution (DE) and harmony search (HS) are two well-known nature-inspired computing techniques. Both of them can be applied to effectively cope with nonlinear optimization problems. In this paper, we propose and study a new DE method, DE–HS, by utilizing the fresh individual generation mechanism of the HS. The HS-based approach can enhance the local search capability of the original DE. Optimization of some unconstrained and constrained benchmark problems and a real-world wind generator demonstrate that our DE–HS has an improved convergence property.

Optimal Design of Mechanical Components With Sizing, Configurational and Topological Consideration

1989 ◽  
Author(s):  
E. Sandgren ◽  
H. Lee ◽  
M. El-Sayed
Keyword(s):  
Optimal Design ◽  
Frame Structure ◽  
Optimization Approach ◽  
Reduced Gradient Method ◽  
Beam Elements ◽  
Reduced Gradient ◽  
Mechanical Components ◽  
Upper Level ◽  
Generalized Reduced Gradient ◽  
Seat Frame

Abstract A methodology for the optimal design of structural mechanical components with sizing, configurational and topological consideration is presented. The optimization involves the minimization of structural weight subject to stress and deflection constraints. A finite element code with internally generated design sensitivities and general element connectivities is implemented in order to solve for the stresses and deflections in the structure. Beam elements with various crossectional configurations are considered. The generalized reduced gradient method is applied to solve the constrained nonlinear programming problem. A hierarchical design optimization approach is taken with topological issues considered at the upper level and geometric and crossectional issues considered at the lower level. An example involving the design of an automotive seat frame structure is presented to demonstrate the approach.

scholarly journals Analysis of Pumping-Test Data: Confined Aquifers

Hydrology ◽  
2017 ◽  
pp. 333-353
Author(s):  
Ian Watson ◽  
Alister D. Burnett
Keyword(s):  
Test Data ◽  
Pumping Test ◽  
Confined Aquifers

A hybrid optimization approach in non-isothermal glass molding

2016 ◽  
Author(s):  
Anh-Tuan Vu ◽  
Holger Kreilkamp ◽  
Bharathwaj Janaki Krishnamoorthi ◽  
Olaf Dambon ◽  
Fritz Klocke
Keyword(s):  
Hybrid Optimization ◽  
Optimization Approach ◽  
Glass Molding
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