A SIMPLIFIED MULTI‐OBJECTIVE GENETIC ALGORITHM OPTIMIZATION MODEL FOR CANAL SCHEDULING

A SIMPLIFIED MULTI‐OBJECTIVE GENETIC ALGORITHM OPTIMIZATION MODEL FOR CANAL SCHEDULING

Source :

• Irrigation and Drainage [ 1531-0353 ] ; 2012-07.

Descripteurs français

• Wicri :
  • topic : étude de cas, Droit d'auteur, Irrigation, Ressource en eau.

English descriptors

• KwdEn :
  • Agricultural water management, Algorithm, Binary, Binary optimized scheduling, Branch canal distributary, Branch canal scheduling, Branch canals, Canal, Canal numbers, Canal scheduling, Canal scheduling design, Canal scheduling optimization, Canal system, Canal systems, Case study, Central board, Constraint, Continuous canal scheduling, Copyright, Crop models, Crop water requirements, Crossover, Current scheduling, Decision variables, Different levels, Discharge constraints, Distributary, Distributary canal, Distributary canals, Drainage engineering, Effective model, Flow rate, Gaoyou irrigation area, Gaussian mutation, Genetic algorithm, Genetic algorithms, Global optimization toolbox3, Gross discharge, Hohai university, Hydraulic engineering, Initial generation, Initial population, Irrig, Irrigation, Irrigation areas, Irrigation continuity constraints, Irrigation duration, Irrigation event, Irrigation period, Irrigation scheduling, Irrigation season, Irrigation systems, Irrigation time, Irrigation water, John wiley sons, Last generation, Logical structure, Main canal, Main canals, Main program, Multiple objective functions, Mutation, Next generation, Objective function, Objective functions, Optimization, Optimization model, Optimization process, Optimized, Optimized results, Pareto, Pareto front, Pareto fronts, Penalty function, Programmation, Programmation canal, Rotation group, Rotation period, Rotational, Rotational canal scheduling, Rotational irrigation, Rotational scheduling, Scheduling, Second objective, Seepage, Seepage loss, Seepage losses, Single objective models, Steady range, Stream tube model, Stream tubes, Superior canal, Supply water, Time block model, Tness, Tness function, Tness functions, Total irrigation time, Uctuations, Unequal, Unequal discharges, Water availability, Water availability constraints, Water availability simulation models, Water delivery, Water resources.
• Teeft :
  • Agricultural water management, Algorithm, Binary, Binary optimized scheduling, Branch canal distributary, Branch canal scheduling, Branch canals, Canal, Canal numbers, Canal scheduling, Canal scheduling design, Canal scheduling optimization, Canal system, Canal systems, Case study, Central board, Constraint, Continuous canal scheduling, Copyright, Crop models, Crop water requirements, Crossover, Current scheduling, Decision variables, Different levels, Discharge constraints, Distributary, Distributary canal, Distributary canals, Drainage engineering, Effective model, Flow rate, Gaoyou irrigation area, Gaussian mutation, Genetic algorithm, Genetic algorithms, Global optimization toolbox3, Gross discharge, Hohai university, Hydraulic engineering, Initial generation, Initial population, Irrig, Irrigation, Irrigation areas, Irrigation continuity constraints, Irrigation duration, Irrigation event, Irrigation period, Irrigation scheduling, Irrigation season, Irrigation systems, Irrigation time, Irrigation water, John wiley sons, Last generation, Logical structure, Main canal, Main canals, Main program, Multiple objective functions, Mutation, Next generation, Objective function, Objective functions, Optimization, Optimization model, Optimization process, Optimized, Optimized results, Pareto, Pareto front, Pareto fronts, Penalty function, Programmation, Programmation canal, Rotation group, Rotation period, Rotational, Rotational canal scheduling, Rotational irrigation, Rotational scheduling, Scheduling, Second objective, Seepage, Seepage loss, Seepage losses, Single objective models, Steady range, Stream tube model, Stream tubes, Superior canal, Supply water, Time block model, Tness, Tness function, Tness functions, Total irrigation time, Uctuations, Unequal, Unequal discharges, Water availability, Water availability constraints, Water availability simulation models, Water delivery, Water resources.

Abstract

• https://api.istex.fr/document/847CD1EBC0117CC4E4DDA455BBBABF7D688B381A/fulltext/pdf

Affiliations:

• Australie, France, République populaire de Chine
• Île-de-France
• Paris

Links toward previous steps (curation, corpus...)

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• to stream Main, to step Merge: 005A07
• to stream Main, to step Curation: 005740

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