Results 241 to 250 of about 70,247 (289)

Mathematical formulations and a Relax-and-Fix heuristic algorithm for capacitated reliable fixed-charge facility location problems. [PDF]

J Heuristics
Roshani A, Parry G, Walker-Davies P.
europepmc   +1 more source

A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings. [PDF]

MethodsX
Klanatsky P, Veynandt F, Heschl C.
europepmc   +1 more source

Optimizing sustainable hub depot locations for empty container logistics in Slovenia using particle swarm optimization. [PDF]

Sci Rep
Tuljak-Suban D.
europepmc   +1 more source

Terminal-Edge-Cloud Collaborative Computation Offloading and Resource Allocation Strategy Based on Improved Mayfly Algorithm for District Heating Systems. [PDF]

Sensors (Basel)
Chen GH, Ma HY, Yu W, Wen J, Chen K, Wang JJ, Chen SD, Sun YL.   +7 more
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Integer programming for learning directed acyclic graphs from nonidentifiable Gaussian models. [PDF]

Biometrika
Xu T, Taeb A, Küçükyavuz S, Shojaie A.   +3 more
europepmc   +1 more source

Enabling continuous 24/7 vertical mobility in High-Rise buildings by integrating critical activity scheduling and night shift planning. [PDF]

Sci Rep
Ahmadnia M, Maghrebi M, Khodatars F.
europepmc   +1 more source

A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]

Biomimetics (Basel)
Chen F, Wu X, Wang Z, Qi W, Li P.
europepmc   +1 more source

Variable-Condition Operational Optimization of Oil and Gas Gathering Systems Considering Renewable Energy Accommodation: A Comprehensive Review and Future Perspectives. [PDF]

ACS Omega
Wang S, Wang W.
europepmc   +1 more source

Mixed integer polynomial programming

Computers and Chemical Engineering, 2015
AbstractThe mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which
Vivek Dua
exaly   +3 more sources

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Presolve Reductions in Mixed Integer Programming

INFORMS Journal on Computing, 2020
Mixed integer programming has become a very powerful tool for modeling and solving real-world planning and scheduling problems, with the breadth of applications appearing to be almost unlimited. A critical component in the solution of these mixed integer programs is a set of routines commonly referred to as presolve.
Tobias Achterberg, Robert E Bixby, Zonghao Gu   +2 more
exaly   +3 more sources