Results 11 to 20 of about 26,115 (210)
An efficient optimization algorithm for electric vehicle routing problem
1. To minimize the cost of travel and travel time for electric vehicles (EVs) while considering constraints on battery capacity, charging time, and delivery/pickup requirements. 2. To find the most efficient route to charging stations to address the issue of range anxiety and the scarcity of charging infrastructure. 3.
Batchu Veena Vani +3 more
wiley +1 more source
A MIXED INTEGER LINEAR PROGRAMMING (MILP) FRAMEWORK FOR INFERRING TIME DELAY IN GENE REGULATORY NETWORKS [PDF]
In this paper, an optimization based modeling and solution framework for inferring gene regulatory networks while accounting for time delay is described. The proposed framework uses the basic linear model of gene regulation. Boolean variables are used to capture the existence of discrete time delays between the various regulatory relationships ...
M S, Dasika, A, Gupta, C D, Maranas
openaire +2 more sources
This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang +3 more
doaj +1 more source
Surrogate “Level-Based” Lagrangian Relaxation for mixed-integer linear programming
Mixed-Integer Linear Programming (MILP) plays an important role across a range of scientific disciplines and within areas of strategic importance to society. The MILP problems, however, suffer from combinatorial complexity.
Mikhail A. Bragin, Emily L. Tucker
doaj +1 more source
Solution to dynamic economic dispatch with prohibited operating zones via MILP
Dynamic economic dispatch (DED) problem considering prohibited operating zones (POZ), ramp rate constraints, transmission losses and spinning reserve constraints is a complicated non-linear problem which is difficult to solve efficiently.
Shanshan Pan, Jinbao Jian, Linfeng Yang
doaj +1 more source
Techniques and methods of linear optimization underwent a significant improvement in the 20th century which led to the development of reliable mixed integer linear programming (MILP) solvers. It would be useful if these solvers could handle mixed integer
Loay Alkhalifa, Hans Mittelmann
doaj +1 more source
G2MILP: Learning to Generate Mixed-Integer Linear Programming Instances for MILP Solvers
<p>There have been significant efforts devoted to developing advanced mixed-integer linear programming (MILP) solvers, which are powerful tools for solving various real-world optimization problems. Despite the achievements, the limited availability of real-world instances often results in sub-optimal decisions and biased evaluations, which ...
Feng Wu +5 more
openaire +1 more source
A mixed-integer linear programming approach for robust state estimation
In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existing mixed integer nonlinear ...
Yanbo Chen, Jin Ma
doaj +1 more source
Linear Programming Detection and Decoding for MIMO Systems [PDF]
We develop an efficient linear programming detector (LPD) for multiple-input multiple-output (MIMO) systems. Instead of using the usual l2 norm, our proposed LPD uses the l1 norm as the detection metric, resulting in a mixed-integer linear program (MILP).
Cui, Tao +2 more
core +1 more source
A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem
A special parallel production lines scheduling problem is studied in this paper. Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem.
Huizhi Ren, Shenshen Sun
doaj +1 more source

