Integrated location–inventory planning for slow‐moving demands with waiting time limitations
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms
The geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim +4 more
doaj +1 more source
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease [PDF]
Olaide N. Oyelade, Absalom E. Ezugwu
openalex +1 more source
A matheuristic for the traveling salesman problem with positional consistency constraints
Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley +1 more source
Metaheuristics in automated machine learning: Strategies for optimization
The present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito +4 more
doaj +1 more source
A unified formulation for home healthcare routing and scheduling problems
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
wiley +1 more source
Genetic and memetic algorithms for scheduling railway maintenance activities
Nowadays railway companies are confronted with high infrastructure maintenance costs. Therefore good strategies are needed to carry out these maintenance activities in a most cost effective way.
Dekker, R., Kaymak, U., Budai-Balke, G.
core
Abstract This research evaluates the effectiveness of a hybrid crowdshipping system that integrates occasional drivers with traditional delivery services (OD+TD) to improve the efficiency of freight distribution. By implementing the team orienteering problem with occasional drivers model, we develop a mathematical model and an agile optimization ...
Alisson Garcia‐Herrera +4 more
wiley +1 more source
Metaheuristic search using genetic algorithms for Boothroyd's design for assembly [PDF]
Metaheuristic search using genetic algorithms for Boothroyd's design for ...
Saul D. Santilan-Gutierrez (7202585)
core
Metaheuristic Algorithms: A Comprehensive Review
Metaheuristic algorithms are computational intelligence paradigms especially used for sophisticated solving optimization problems. This chapter aims to review of all metaheuristics related issues. First, metaheuristic algorithms were divided according to
Abdel-Fatah, Laila +5 more
core +1 more source

