About: Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem

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scholarly article by A. C. Zecchin et al published September 2012 in Water Resources Research

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у вересні 2012 (uk) im September 2012 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by A. C. Zecchin et al published September 2012 in Water Resources Research (en)
publication date	wds:Q57606603-08A9DB30-D297-4491-8145-7BB25567C1C6
publication date	2012-09-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q57606603-07537880-1CEB-41F4-ABDE-549E97A80FE0 wds:Q57606603-0D950A67-3A3E-48DE-9A20-5CEF550B0E10 wds:Q57606603-1A103F5D-DF2F-4C98-9DAE-0E23A3212420 wds:Q57606603-1F4A5DE3-F9DA-4CD9-9A85-57B1010C3B73 wds:Q57606603-1F8C548C-6F94-461D-A2AA-475C1ACDF26F wds:Q57606603-29217F0F-C8FF-48C7-BA72-BA054FBCC8EE wds:Q57606603-2A16A559-A135-439C-A84E-E3CD7CEE8FB1 wds:Q57606603-36BD88A5-3709-4488-A758-F50E0F36C4AD wds:Q57606603-459EC3B4-924D-4D31-857D-2A543C58D2EE wds:Q57606603-4B75C17C-4B1B-4DBA-A7BA-98EC7D31A994 wds:Q57606603-540DBEC0-F228-44FB-A982-4EB7B31D59A4 wds:Q57606603-60CBACAB-7A37-496A-8DB9-E81735FC040E wds:Q57606603-66E2DF9B-8A6A-45C2-A824-EBE779C01544 wds:Q57606603-6F49BC44-9BE9-491C-B987-769F692142BD wds:Q57606603-71E6136A-1E15-471B-93CB-221CDFF3E318 wds:Q57606603-7F5CB7E6-EBF5-49FA-ACE9-EFE0E9784442 wds:Q57606603-92A58C14-CA41-44C9-80D1-7FBDE51A6D86 wds:Q57606603-95ABDDF9-EE83-47E5-826F-9233230D57CC wds:Q57606603-A61266D9-E49A-4531-ABB0-C37BF7544426 wds:Q57606603-AB7F030F-778B-4D6F-B1F6-50F2FACB321D wds:Q57606603-AC8E1C8B-A3A8-4DA7-BD1F-F9A9E0BF606C wds:Q57606603-B590C4C6-D31D-4D3A-90F5-FA4CBF4886B9 wds:Q57606603-C3DDE9BF-079C-44FF-9FF4-04F24C9DBDAE wds:Q57606603-C7E8D8E3-17F7-4643-BC7B-5DEC607EF43D wds:Q57606603-E69019D3-1680-4FDF-9BCF-287009B23BC6 wds:Q57606603-EC98E38C-DA33-424D-BBA8-36CFF2E7125C wds:Q57606603-EEE17EFC-464E-42F8-A65A-14DAF11B34BC wds:Q57606603-FAED0689-C9E0-4155-AB7A-EF85E63CBFE5
cites work	Optimization by Simulated Annealing Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) Ant system: optimization by a colony of cooperating agents. The particle swarm - explosion, stability, and convergence in a multidimensional complex space Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces Ant colonies for the travelling salesman problem Optimal use of the SCE-UA global optimization method for calibrating watershed models Improved evolutionary optimization from genetically adaptive multimethod search Algorithmic funnel-and-gate system design optimization Optimization of concentration control by evolution strategies: Formulation, application, and assessment of remedial solutions Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones Shuffled complex evolution approach for effective and efficient global minimization State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management – Ant System Ant algorithms and stigmergy Ant Colony Optimization Applied to Water Distribution System Design: Comparative Study of Five Algorithms Ant Colony Optimization for Design of Water Distribution Systems A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization A genetic algorithm calibration method based on convergence due to genetic drift Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization Application of two ant colony optimisation algorithms to water distribution system optimisation Self-adaptive genetic algorithms with simulated binary crossover. Managing population and drought risks using many-objective water portfolio planning under uncertainty Evolutionary multi-objective optimization in water distribution network design Parametric Study for an Ant Algorithm Applied to Water Distribution System Optimization Information characteristics and the structure of landscapes A new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems Relationship between problem characteristics and the optimal number of genetic algorithm generations
author name string	wds:Q57606603-53FFE12C-409B-4807-B025-CF450F5A8853 wds:Q57606603-69C03F66-7F2C-4CC7-BECD-BDF7CFF1DB41 wds:Q57606603-7D15F28F-CE47-4E82-8918-0512BC519C19 wds:Q57606603-8EADA61F-DE15-431D-9E2C-4BBE146C66E8
author name string	A. Marchi A. R. Simpson A. C. Zecchin J. B. Nixon
rdfs:label	Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (en) Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (nl)
skos:prefLabel	Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (en) Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (nl)
name	Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (en) Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (nl)
author	wds:Q57606603-087B6AE4-A9A7-4202-B43A-5EE22DA09D09
author	Holger Maier
title	wds:Q57606603-4E726F49-0016-4491-B3E2-6BDAA4CFB0CF
title	Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem (en)
instance of	wds:Q57606603-600F0458-FA0A-4E4D-A180-C26F84EF1B4C
instance of	scholarly article
main subject	wds:Q57606603-E2BE857B-402C-4E4D-B4AA-7CA90B88B02D
main subject	algorithm
published in	wds:Q57606603-6D8305FC-CC44-4698-8D4C-E2A1D9D0F45A
published in	Water Resources Research
issue	wds:Q57606603-365A1E87-1B68-4ABB-91AF-2DE7D2545ED3
volume	wds:Q57606603-82D28386-93C8-4879-ABC3-D898519E2141
issue	9
volume	48
DOI	wds:Q57606603-CDE7D88B-E8AA-4B02-B00D-9C21D1FD36E9
DOI	http://dx.doi.org/10.1029/2011WR011652
DOI	10.1029/2011WR011652
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57606603
is cites work of	An auto-adaptive optimization approach for targeting nonpoint source pollution control practices
is cites work of	wds:Q36185818-498A79DC-04E5-4194-B186-C9524E892630

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