Search Results - subject:"Integer Linear Programming"

A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming

Laporte, Gilbert - 2023

Persistent link: https://www.econbiz.de/10014458578

Assessment of centralised and localised ice cream supply chains using neighbourhood flow configuration models

Dorneanu, Bogdan; Masham, Elliot; Keykha, Mina; … - In: Supply chain analytics 4 (2023), pp. 1-21

linear programming (MILP) and neighbourhood flow models defined in cellular automata to compare the environmental benefits … aligning with sustainability objectives. This research introduces a novel decision-making approach anchored in mixed integer …

Persistent link: https://www.econbiz.de/10014516530

A mixed-integer linear programming model for sustainable blood supply chain problems with shelf-life time and multiple blood types

Mansur, Agus; Handayani, Dwi Iryaning; Wangsa, Ivan Darma; … - 2023

linear programming (MILP) model that considers multiple echelons, multiple blood types, transportation and production … and the environment, especially with regard to the disposal of expired blood bag waste. This study proposes a new mixed-integer …

Persistent link: https://www.econbiz.de/10014516961

An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks

Bebortta, Sujit; Tripathy, Subhranshu Sekhar; Modibbo, … - 2023

challenge is modeled as an integer linear programming (ILP) problem to ease the burden on finite fog resources and speed up the … linear programming technique for facilitating optimal task offloading that distributes resources from the fog computing layer … latency and fog resource energy consumption in delay-sensitive IoT-Fog applications. This paper suggests a dynamic integer …

Persistent link: https://www.econbiz.de/10014517297

Solving the Traveling Salesman Problem with release dates via branch and cut

Montero, Agustín; Méndez-Díaz, Isabel; … - In: EURO journal on transportation and logistics 12 (2023), pp. 1-12

time needed to serve all customers is minimized. We propose a new Integer Linear Programming model and develop a branch and …

Persistent link: https://www.econbiz.de/10014518066

Mathematical optimization models for reallocating and sharing health equipment in pandemic situations

Blanco, Víctor; Gázquez, Ricardo; Leal, Marina - In: Top : an official journal of the Spanish Society of … 31 (2023) 2, pp. 355-390

Persistent link: https://www.econbiz.de/10014384683

Reinforcement learning variants for stochastic dynamic combinatorial optimization problems in transportation

Hildebrandt, Florentin D.; Bode, Alexander; Ulmer, … - 2023

With rising customer expectations and increasing computational potential, many transportation services face real-time decision making in stochastic and dynamic environments. They often need to find and adapt complex plans that are effective now but also flexible with respect to future...

Persistent link: https://www.econbiz.de/10014303677

Optimizing strategies for short-term hydropower scheduling using a blackbox optimization framework

Daadaa, Maissa; Séguin, Sara; Anjos, Miguel F.; … - 2023

Persistent link: https://www.econbiz.de/10014336396

Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems

Liu, Qihao; Li, Xinyu; Gao, Liang; Fan, Jiaxin - In: Journal of the Operational Research Society 74 (2023) 9, pp. 1955-1967

Persistent link: https://www.econbiz.de/10014336416

The future role of thermal energy storage in 100% renewable electricity systems

Jacob, Rhys; Hoffmann, Maximilian; Weinand, Jann Michael; … - In: Renewable and sustainable energy transition 4 (2023), pp. 1-13

Modeling tools and technologies that will allow reaching decarbonization goals in the most cost-effective way are imperative for the transition to a climate-friendly energy system. This includes models which are able to optimize the design of energy systems with a large number of spatially...

Persistent link: https://www.econbiz.de/10014500205