State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management
University of Exeter · Old Dominion University · +3 more institutions
Abstract
During the last two decades, the water resources planning and management profession has seen a dramatic increase in the development and application of various types of evolutionary algorithms (EAs). This observation is especially true for application of genetic algorithms, arguably the most popular of the several types of EAs. Generally speaking, EAs repeatedly prove to be flexible and powerful tools in solving an array of complex water resources problems. This paper provides a comprehensive review of state-of-the-art methods and their applications in the field of water resources planning and management. A primary goal in this ASCE Task Committee effort is to identify in an organized fashion some of the…
Citation impact
- FWCI
- 40.38
- Percentile
- 100%
- References
- 279
Authors
12- JWJohn W. NicklowCorresponding
University of Exeter, Old Dominion University, Pennsylvania State University, Palm Beach Neurology
- PMPatrick M. Reed
Palm Beach Neurology, Old Dominion University, Pennsylvania State University, University of Exeter
- DSDragan Savić
Old Dominion University, Palm Beach Neurology, University of Exeter, Pennsylvania State University
- TDTibebe Dessalegne
Pennsylvania State University, Old Dominion University, Palm Beach Neurology, University of Exeter
- LJLaura J. Harrell
Old Dominion University, Pennsylvania State University, Palm Beach Neurology, University of Exeter
Topics & keywords
- Water resources
- Computer science
- Field (mathematics)
- Scale (ratio)
- Evolutionary algorithm
- Task (project management)
- Genetic algorithm
- Evolutionary computation