Results 71 to 80 of about 65,077 (195)
Evolutionary multiobjective optimization of the multi-location transshipment problem
We consider a multi-location inventory system where inventory choices at each location are centrally coordinated. Lateral transshipments are allowed as recourse actions within the same echelon in the inventory system to reduce costs and improve service ...
A Pan +8 more
core +2 more sources
Bi-directional Search for Robust Routes in Time-dependent Bi-criteria Road Networks [PDF]
Based on time-dependent travel times for N past days, we consider the computation of robust routes according to the min-max relative regret criterion. For this method we seek a path minimizing its maximum weight in any one of the N days, normalized by ...
, Montanari, Sandro
core +1 more source
Reference Point MCDM Algorithm for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems
This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple-Input, Multiple-Output) systems.
Eni Haxhiraj +2 more
doaj +1 more source
Today, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric ...
Gurel Aycan, Zerdali Emrah
doaj +1 more source
Methods for many-objective optimization: an analysis [PDF]
Decomposition-based methods are often cited as the solution to problems related with many-objective optimization. Decomposition-based methods employ a scalarizing function to reduce a many-objective problem into a set of single objective problems, which
Fleming, P.J., Giagkiozis, I.
core
T and B cell activation are equally important in triggering and orchestrating adaptive host responses to design multi-epitope African swine fever virus (ASFV) vaccines.
Ting-Yu Chen +5 more
doaj +1 more source
Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. This paper proposes a novel
Vimal Savsani +3 more
doaj +1 more source
Matrix factorization-based multi-objective ranking-What makes a good university?
Non-negative matrix factorization (NMF) efficiently reduces high dimensionality for many-objective ranking problems. In multi-objective optimization, as long as only three or four conflicting viewpoints are present, an optimal solution can be determined ...
János Abonyi +3 more
doaj +1 more source
This paper proposes an extension of Zoutendijk’s Method of Feasible Directions (MFD) for solving linearly constrained multi-objective optimization problems.
Ramdani Zoubir +2 more
doaj +1 more source

