Mathematical programming bounds for large-scale unit commitment problems in medium-term energy system simulations [PDF]
We consider a large-scale unit commitment problem arising in medium-term simulation of energy networks, stemming from a joint project between the University of Milan and a major energy research centre in Italy. Optimal plans must be computed for a set of thermal and hydroelectric power plants, located in one or more countries, over a time horizon ...
A. Ceselli +3 more
openaire +6 more sources
Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time [PDF]
Purpose: Lot streaming, which has much attention in recent years, is an effective technique to increase production efficiency in a production system by splitting a job into several smaller parts in a multi-stage production system.
Roja Ruhbakhsh +2 more
doaj +1 more source
Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem
Open Shop Scheduling Problem (OSSP) is one of the most important scheduling problems in the field of engineering and industry. This kind of problem includes m machines and n jobs, each job contains a certain number of operations, and each operation has a
Seyed Hassan Shams Lahroudi +2 more
doaj +1 more source
On Solving Stochastic Optimization Problems
Many optimization mathematical models, associated with the technical-economic processes of real-world problems, have elements of uncertainty in their structure, which places them in stochastic optimization programming. Their diversity and complexity, due
Ovidiu Blăjină, Ionuţ Gabriel Ghionea
doaj +1 more source
Research progress on optimization and coordination methods for primary distribution of refined oil
Efficient methods for optimizing and coordinating the primary distribution of petroleum products are crucial for enhancing transportation efficiency and reducing operational costs.
TU Renfu +6 more
doaj +1 more source
Solving the Electric Vehicle Routing Problem Considering the Vehicle Volume Limitation Using a Simulated Annealing Algorithm [PDF]
This study investigates the problem of electric vehicles routings with a limit on the volume of vehicles capacity. In this regard, the fleet which includes some electric vehicles with given limited battery capacities, should also be taken into account in
Amir Eslaminia, Parham Azimi
doaj +1 more source
A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis [PDF]
Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models.
Martin Gonzalez +3 more
doaj +2 more sources
Multi-Objective Mathematical Model for Location, Allocation and Distribution of Relief Commodities under Uncertainty [PDF]
In this paper, decisions about different phases of crisis management cycle are modeled in the form of an integrated mathematical programming model based on the assumption of the real situation of the crisis.
Peiman Ghasemi +3 more
doaj +1 more source
Solving blocking flowshop scheduling problem with makespan criterion using q-learning-based iterated greedy algorithms [PDF]
This study proposes Q-learning-based iterated greedy (IGQ) algorithms to solve the blocking flowshop scheduling problem with the makespan criterion. Q learning is a model-free machine intelligence technique, which is adapted into the traditional
M. Fatih Tasgetiren +2 more
doaj +1 more source
Network Design in Strategic Alliance under Uncertainty with a Trade-off between Risk and Performance [PDF]
Objective: The purpose of this study is to present a new mathematical model to design a supply network by considering the strategic alliance and the relationships between the supply chain members under uncertainty.
Hamid Saffari +2 more
doaj +1 more source

