A Dual Bounding Framework Through Cost Splitting for Binary Quadratic Optimization
M Bayani, B Rostami, Y Adulyasak… - INFORMS Journal …, 2024 - pubsonline.informs.org
Binary quadratic programming (BQP) is a class of combinatorial optimization problems
comprising binary variables, quadratic objective functions, and linear/nonlinear constraints …
comprising binary variables, quadratic objective functions, and linear/nonlinear constraints …
[PDF][PDF] Learning and modeling implicit constraints in optimiza-tion models through decision trees
M Bayani, Y Adulyasak, LM Rousseau - Les Cahiers du GERAD ISSN, 2024 - gerad.ca
Planners in different industries use optimization software for decision-making. In numerous
practical applications, these optimization tools are often not readily adjustable or …
practical applications, these optimization tools are often not readily adjustable or …
[PDF][PDF] Optimization Problem Structure Analysis: Application to 0− 1 Linear Problems
SM Aourid - 2023 - ksaressouk.com
Abstract knowing the characteristics of an instance problem is crucial in combinatorial
optimization. This makes it possible to choose the adequate algorithm or heuristic in order to …
optimization. This makes it possible to choose the adequate algorithm or heuristic in order to …
[PDF][PDF] A dual bounding framework for binary quadratic combi-natorial optimization
M Bayani, B Rostami, Y Adulyasak… - Les Cahiers du GERAD …, 2021 - gerad.ca
Binary quadratic programming (BQP) is a class of combinatorial optimization problems
comprising binary variables, quadratic objective functions and linear/non-linear constraints …
comprising binary variables, quadratic objective functions and linear/non-linear constraints …