Works (21)

Updated: June 18th, 2024 08:22

2017 journal article

Battle of Water Networks DMAs: Multistage Design Approach

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 143(10).

By: E. Salomons, O. Skulovich* & A. Ostfeld*

author keywords: Water distribution; Design; Optimization; Clustering; District metering areas (DMAs)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Complex adaptive systems framework to assess supply-side and demand-side management for urban water resources

Journal of Water Resources Planning and Management, 140(1), 75–85.

By: L. Kanta & E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Hydrologic impact assessment of land cover change and stormwater management using the hydrologic footprint residence

Journal of the American Water Resources Association, 50(5), 1242–1256.

By: M. Giacomoni, R. Gomez & E. Berglund

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Sociotechnical risk assessment for water distribution system contamination threats

Journal of Hydroinformatics, 16(3), 531–549.

By: A. Rasekh, M. Shafiee, E. Zechman & K. Brumbelow

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

An agent-based modeling framework for sociotechnical simulation of water distribution contamination events

Journal of Hydroinformatics, 15(3), 862–880.

By: M. Shafiee & E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

An evolutionary algorithm approach to generate distinct sets of non-dominated solutions for wicked problems

Engineering Applications of Artificial Intelligence, 26(5-6), 1442–1457.

By: E. Zechman, M. Giacomoni & M. Shafiee

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Complex adaptive systems approach to simulate the sustainability of water resources and urbanization

Journal of Water Resources Planning and Management, 139(5), 554–564.

By: M. Giacomoni, L. Kanta & E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Integrating evolution strategies and genetic algorithms with agent-based modeling for flushing a contaminated water distribution system

Journal of Hydroinformatics, 15(3), 798–812.

By: E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

On event detection and localization in acyclic flow networks

IEEE Transactions on Systems Man Cybernetics-Systems, 43(3), 708–723.

By: M. Suresh, R. Stoleru, E. Zechman & B. Shihada

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Simulation-optimization approach to design low impact development for managing peak flow alterations in urbanizing watersheds

Journal of Water Resources Planning and Management, 139(3), 290–298.

By: C. Damodaram & E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Enhanced Simulation-Optimization Approach Using Surrogate Modeling for Solving Inverse Problems

Environmental Forensics, 13(4), 348–363.

By: B. Mirghani n, E. Zechman n, R. Ranjithan n & G. Mahinthakumar n

Contributors: B. Mirghani n, E. Zechman n, R. Ranjithan n & G. Mahinthakumar n

author keywords: artificial numeral network; genetic algorithms; groundwater modeling; inverse problems; simulation-optimization; surrogate modeling
TL;DR: This study investigates and discusses groundwater system characterization problem utilizing surrogate modeling, a technique utilized to solve inverse problems by formulating them as an optimization model, where evolutionary computation algorithms are used to perform the search. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries, ORCID
Added: August 6, 2018

2012 journal article

Hydrologic footprint residence: Environmentally friendly criteria for best management practices

Journal of Hydrologic Engineering, 17(1), 99–108.

By: M. Giacomoni, E. Zechman & K. Brumbelow

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Identifying contaminant sources for water distribution systems using a hybrid method

Civil Engineering and Environmental Systems, 29(2), 123–136.

By: L. Liu*, E. Zechman n, G. Mahinthakumar n & S. Ranji Ranjithan n

Contributors: L. Liu*, E. Zechman n, G. Mahinthakumar n & S. Ranji Ranjithan n

author keywords: identification; water distribution systems; contamination; algorithms; hybrid heuristic search
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries, ORCID
Added: August 6, 2018

2011 journal article

Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source

Engineering Applications of Artificial Intelligence, 25(2), 309–316.

By: L. Liu*, E. Zechman n, G. Mahinthakumar n & S. Ranji Ranjithan n

Contributors: L. Liu*, E. Zechman n, G. Mahinthakumar n & S. Ranji Ranjithan n

author keywords: Logistic regression analysis; Local search; Contamination; Water distribution systems
TL;DR: Application of the proposed approach to two illustrative example water distribution networks demonstrates its capability of adaptively discovering contaminant source characteristics as well as evaluating the degree of non-uniqueness of solutions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries, ORCID
Added: August 6, 2018

2007 journal article

Evolutionary computation-based approach for model error correction and calibration

Advances in Water Resources, 30(5), 1360–1370.

By: E. Zechman n & S. Ranji Ranjithan n

author keywords: evolutionary computation; calibration; model error correction; genetic programming
TL;DR: A new approach is presented that addresses both parameter error and model structural error to improve the predictive capabilities of a model and can be applied to a broad array of mechanistic models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

2007 journal article

Generating Alternatives Using Evolutionary Algorithms for Water Resources and Environmental Management Problems

Journal of Water Resources Planning and Management, 133(2), 156–165.

By: E. Zechman n & R. Ranjithan n

TL;DR: Alternatives with maximal differences in the decision variable values are expected to perform differently with respect to the unmodeled issues, providing valuable choices when making decisions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: NC State University Libraries, Crossref, NC State University Libraries
Added: August 6, 2018

2007 journal article

Parallel Performance Modeling using a Genetic Programming-based Error Correction Procedure

SIMULATION, 83(7), 515–527.

By: K. Raghavachar n, G. Mahinthakumar n, P. Worley*, E. Zechman* & R. Ranjithan n

Contributors: K. Raghavachar n, G. Mahinthakumar n, R. Ranjithan n, P. Worley* & E. Zechman*

author keywords: error correction procedure; genetic programming; performance modeling
TL;DR: This approach uses a systematic model error-correction procedure that uses evolutionary algorithms to find an error correction term to augment the eXisting model and shows that it adequately captures machine dependent characteristics. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, Crossref, NC State University Libraries, ORCID
Added: August 6, 2018

2006 chapter

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

In V. N. Alexandrov, G. D. Albada, P. M. A. Sloot, & J. Dongarra (Eds.), Computational Science – ICCS 2006 (pp. 401–408).

By: K. Mahinthakumar n, G. von Laszewski*, R. Ranjithan n, D. Brill n, J. Uber*, K. Harrison*, S. Sreepathi n, E. Zechman n

Contributors: K. Mahinthakumar n, G. Von Laszewski*, R. Ranjithan n, D. Brill n, J. Uber*, K. Harrison*, S. Sreepathi n, E. Zechman n

Ed(s): V. Alexandrov, G. Albada, P. Sloot & J. Dongarra

TL;DR: The development of an adaptive cyberinfrastructure system facilitated by a dynamic workflow design such that the measurement system, the analytical modules and the computing resources can mutually adapt and steer each other. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: NC State University Libraries, Crossref, NC State University Libraries, ORCID
Added: August 6, 2018

2004 journal article

An evolutionary algorithm to generate alternatives (EAGA) for engineering optimization problems

Engineering Optimization, 36(5), 539–553.

By: E. Zechman* & S. Ranjithan

author keywords: genetic algorithm; evolutionary algorithm; modeling to generate alternatives; niching
TL;DR: The EAGA promises to be a flexible procedure for exploring alternative solutions that could assist when making decisions for real engineering optimization problems riddled with unmodeled or unquantified issues. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

2004 journal article

Methodology for pH total maximum daily loads: Application to beech creek watershed

Journal of Environmental Engineering (New York, N.Y.), 130(2), 167–174.

By: L. Ormsbee, A. Elshorbagy & E. Zechman

Source: NC State University Libraries
Added: August 6, 2018

2003 chapter

Are the "best" solutions to a real optimization problem always found in the noninferior set? Evolutionary algorithm for generating alternatives (EAGA)

In Lecture Notes in Computer Science: Vol. 2724. Genetic and evolutionary computation--GECCO 2003: Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003: Proceedings (Vol. 2724, pp. 1622–1623).

By: E. Zechman n & S. Ranjithan n

TL;DR: EAs continue to offer an effective, powerful, and sometimes exclusive way to search for solutions to real optimization problems, but whether the results represent the “best” choices for making decisions about a solution to a real problem is questionable. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries, Crossref
Added: August 6, 2018

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