Statements (62)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
gptkbp:bfsLayer |
4
|
gptkbp:bfsParent |
gptkb:Nintendo_Game_Cube
|
gptkbp:application |
gptkb:metropolitan_area
project management risk management event planning financial forecasting logistics optimization resource allocation supply chain optimization energy management network design disaster response planning network flow problems agricultural planning data center optimization transportation problems environmental modeling production scheduling automated trading systems internet traffic management cloud resource management multi-objective optimization game theory applications supply chain risk management smart grid management sports scheduling vehicle routing problems television scheduling telecommunications optimization telecom network optimization workforce scheduling real estate optimization marketing mix optimization financial portfolio optimization healthcare resource management machine learning model optimization public transportation optimization |
gptkbp:community_support |
active community
|
gptkbp:developed_by |
gptkb:CEO
|
gptkbp:features |
constraint programming
modeling capabilities stochastic programming solution visualization |
gptkbp:has_documentation |
IBM website
|
https://www.w3.org/2000/01/rdf-schema#label |
IBM Gekko
|
gptkbp:integrates_with |
gptkb:Pandas
gptkb:computer gptkb:boxing_match gptkb:Num_Py |
gptkbp:is_available_on |
gptkb:IBM_Cloud
|
gptkbp:language |
gptkb:Library
|
gptkbp:license |
Apache License 2.0
|
gptkbp:released_in |
gptkb:2016
|
gptkbp:supports |
linear programming
mixed-integer programming quadratic programming |
gptkbp:target_audience |
business analysts
data scientists operations researchers |
gptkbp:uses |
gptkb:CPLEX_solver
|