Results 31 to 40 of about 200 (108)

Evolutionary algorithms for a simheuristic optimization of the product-service system design

Journal of Intelligent Manufacturing, 2023
AbstractOffering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their competitiveness. Designing PSS business models, however, remains a major challenge. One reason for this is the fact that PSS business models are characterized by a long-term nature.
Henri Meeß, Michael Herzog, Enes Alp, Bernd Kuhlenkötter   +3 more
openaire   +3 more sources

A simheuristic algorithm for the capacitated location routing problem with stochastic demands [PDF]

Journal of Simulation, 2019
[EN] The capacitated location routing problem (CLRP) integrates a facility location problem with a multi-depot vehicle routing problem. We consider the CLRP with stochastic demands, whose specific values are only revealed upon reaching each customer.
Carlos L. Quintero-Araujo, Daniel Guimarans, Angel A. Juan   +2 more
openaire   +3 more sources

A New Simheuristic Approach for Stochastic Runway Scheduling [PDF]

Transportation Science
We consider a stochastic, dynamic runway scheduling problem involving aircraft landings on a single runway. Sequencing decisions are made with knowledge of the estimated arrival times (ETAs) of all aircraft due to arrive at the airport, and these ETAs vary according to continuous-time stochastic processes.
Rob Shone, Kevin Glazebrook, Konstantinos G. Zografos   +2 more
openaire   +2 more sources

Simheuristics to support efficient and sustainable freight transportation in smart city logistics [PDF]

, 2018
Las actividades de logística en ciudades inteligentes constituyen un factor crucial en la creación de sistemas de transporte urbano eficientes y sostenibles. Entre otros factores, estos sistemas se centran en la incorporación de datos en tiempo real y la creación de modelos empresariales colaborativos en el transporte urbano de mercancías, al tiempo ...
Gruler, Aljoscha, Gruler, Aljoscha Claudio   +1 more
openaire   +3 more sources

Simheuristics applications: Dealing with uncertainty in logistics, transportation, and other supply chain areas

, 2019
Optimization problems arising in real-life transportation and logistics need to consider uncertainty conditions (e.g., stochastic travel times, etc.).
Juan, Angel A., Currie, Christine S.M., Javier Faulin, Angel A. Juan, Christine S.M. Currie, David Kelton, W., Faulin, Javier, W. David Kelton   +7 more
core   +2 more sources

A simheuristic approach for evolving agent behaviour in the exploration for novel combat tactics

Operations Research Perspectives, 2019
The automatic generation of behavioural models for intelligent agents in military simulation and experimentation remains a challenge. Genetic Algorithms are a global optimization approach which is suitable for addressing complex problems where locating ...
Chiou-Peng Lam, Martin Masek, Luke Kelly, Michael Papasimeon, Lyndon Benke   +4 more
doaj   +1 more source

A Simulation Based Metaheuristics for Capacitated Vehicle Routing Problem

Automotive Experiences
Waste collection and transportation are essential elements of effective waste management. However, despite their importance, previous studies have highlighted several challenges, such as routing inefficiencies and environmental concerns.
Tamara Latifah Jasmine, Heru Purboyo Hidayat Putro, Niken Prilandita, Gatot Yudoko   +3 more
doaj   +1 more source

The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem

Transport and Telecommunication, 2018
The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems.
Jackson Ilya, Tolujevs Jurijs, Reggelin Tobias   +2 more
doaj   +1 more source

A Db‐Scan Binarization Algorithm Applied to Matrix Covering Problems

Computational Intelligence and Neuroscience, Volume 2019, Issue 1, 2019., 2019
The integration of machine learning techniques and metaheuristic algorithms is an area of interest due to the great potential for applications. In particular, using these hybrid techniques to solve combinatorial optimization problems (COPs) to improve the quality of the solutions and convergence times is of great interest in operations research.
José García, Paola Moraga, Matias Valenzuela, Broderick Crawford, Ricardo Soto, Hernan Pinto, Alvaro Peña, Francisco Altimiras, Gino Astorga, Cornelio Yáñez-Márquez   +9 more
wiley   +1 more source

A Simheuristic Method for the Reversible Lanes Allocation and Scheduling Problem at Smart Container Terminal Gate

Journal of Advanced Transportation, Volume 2018, Issue 1, 2018., 2018
Under the constraints of limited spaces and imbalanced traffic volumes (for both in and out directions) of container gates, reversible lane layouts become an economical and practical way to improve the service level of container terminal systems and make the maximum use of the current terminal resources. Together with a consideration of minimized total
Wenyuan Wang, Ying Jiang, Yun Peng, Yong Zhou, Qi Tian, Ludovic Leclercq   +5 more
wiley   +1 more source