Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$28,000.00
Efficient Evolutionary Algorithms for Many-objective Optimization
FY 2021-22
Summary
Computational Intelligence Algorithms; Evolutionary Computation; Machine Learning; Many-objective Optimization; Metaheuristics; Multi-objective Optimization; Nature inspired problem solving; Population-based Algorithms; Visualization
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2015-03651
Name nom
Rahnamayan, Shahryar
Department département
Electrical, Computer and Software Engineering - Electrical, Computer and Software Engineering
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2015
Award amount
28000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Installment
inst:7
Partie
1
Nb partie
10
Application title
Efficient Evolutionary Algorithms for Many-objective Optimization
Keyword
NSERC
Application summary
Computational Intelligence Algorithms; Evolutionary Computation; Machine Learning; Many-objective Optimization; Metaheuristics; Multi-objective Optimization; Nature inspired problem solving; Population-based Algorithms; Visualization
