Optimizing sustainable hub depot locations for empty container logistics in Slovenia using particle swarm optimization. [PDF]
Tuljak-Suban D.
europepmc +1 more source
Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]
Khan AH, Mohammed AM, Li S.
europepmc +1 more source
Optimizing multi-level shuttle-based puzzle storage systems with horizontal and vertical dynamics using integer programming and ALNS-IP. [PDF]
Al Jneid R, Yiğit V, Keskin ME.
europepmc +1 more source
Research on joint vehicle routing optimization considering multiple distribution centers. [PDF]
Liu D, Li M, Lei Y, Yu P, Li B, Tang S.
europepmc +1 more source
Using Quadratic Programming to Reconstruct Data From Published Survival and Competing Risks Analyses. [PDF]
Titman AC.
europepmc +1 more source
Integrating gamification into a MILP for flexible smart charging of EVs in public parking lots. [PDF]
de-Larriva-Serrano F +4 more
europepmc +1 more source
Mixed Integer Linear Programming for Mixed Integer Quadratic Programming
Abstract. In this paper we consider the mixed integer general quadratic problem (MIGQP) that consists in maximizing a quadratic function subject to quadratic constraints, with three types of variables: binary, integer and real. Given a precision , we show how to associate two mixed integer linear programs and with MIGQP.
Billionnet, Alain
core +5 more sources
Related searches:
Experiments in mixed-integer linear programming
Mathematical Programming, 1971This paper presents a “branch and bound” method for solving mixed integer linear programming problems. After briefly discussing the bases of the method, new concepts called pseudo-costs and estimations are introduced. Then, the heuristic rules for generating the tree, which are the main features of the method, are presented.
Michel Bénichou +5 more
openaire +2 more sources
Nonlinear and Mixed Integer Linear Programming
2012In this chapter we compare continuous nonlinear optimization with mixed integer optimization of water supply networks by means of a meso scaled network instance. We introduce a heuristic approach, which handles discrete decisions arising in water supply network optimization through penalization using nonlinear programming.
Kolb, Oliver +3 more
openaire +2 more sources
Safe bounds in linear and mixed-integer linear programming
Mathematical Programming, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnold Neumaier, Oleg Shcherbina
openaire +3 more sources

