A comparison of extremal optimization, differential evolution and particle swarm optimization methods for well placement design in groundwater management

DOI10.1007/S11004-020-09864-3zbMath1465.86003OpenAlexW3020238083MaRDI QIDQ2040717

Fleford Redoloza, Liangping Li

Publication date: 14 July 2021

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-020-09864-3

zbMATH Keywords

differential evolutionparticle swarm optimizationwell placementRastrigin functionRosenbrock functionextremal optimizationAberdeen

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Hydrology, hydrography, oceanography (86A05) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• Unnamed Item
• A literature survey of benchmark functions for global optimisation problems
• The parallel genetic algorithm as function optimizer
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Hybrid differential evolution and particle swarm optimization for optimal well placement

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