Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.
Holger R. MaierZoran KapelanJoseph R. KasprzykJoshua B. KollatL. Shawn MatottMaria C. CunhaGraeme C. DandyMatthew S. GibbsEd KeedwellAngela MarchiAvi OstfeldDragan A. SavicD. P. SolomatineJasper A. VrugtAaron C. ZecchinBarbara S. MinskerE. J. BarbourGeorge KuczeraF. PashaAndrea CastellettiMatteo GiulianiPatrick M. ReedPublished in: Environ. Model. Softw. (2014)
Keyphrases
- future directions
- current status
- evolutionary algorithm
- water resources
- lessons learned
- optimization problems
- current challenges
- open questions
- simulated annealing
- water supply
- multi objective
- differential evolution
- genetic algorithm
- water resources management
- river basin
- water quality
- case study
- metaheuristic
- management system
- differential evolution algorithm
- sustainable development
- current trends
- advanced technologies
- tabu search
- evolutionary search
- sharing platform
- demand forecasting
- particle swarm optimization
- information services
- real world
- software product line
- data sets
- artificial intelligence