Results 91 to 100 of about 52,555 (294)
Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning
Networks, EarlyView.ABSTRACT With rising customer expectations and increasing computational potential, many transport, manufacturing, and production operations face real‐time decision making in stochastic dynamic environments. Decision makers must find and adapt complex plans that are effective now but also flexible with respect to future developments.
Florentin D. Hildebrandt +3 more
wiley +1 more source
International Journal of Turkish Education SciencesThis paper explores the integration of metaheuristic artificial intelligence (AI) optimization algorithms into the process of curriculum evaluation, proposing a novel approach that could enhance educational outcomes.
Volkan Duran, Gülay Ekici
doaj +1 more source
Sustainable Phosphorus Fertilizer Supply Chain Management to Improve Crop Yield and P Use Efficiency Using an Ensemble Heuristic–Metaheuristic Optimization Algorithm [PDF]
, 2023 Mohammad Shokouhifar +4 more
openalex +1 more source
A study on exponential-size neighborhoods for the bin packing problem with conflicts
, 2017 We propose an iterated local search based on several classes of local and large neighborhoods for the bin packing problem with conflicts. This problem, which combines the characteristics of both bin packing and vertex coloring, arises in various ...
Capua, Renatha +3 more
core +1 more source
Networks, EarlyView.ABSTRACT In response to the increasing volume of parcels, last‐mile delivery innovations are exploring the integration of multiple delivery modes. The most prominent examples are delivery vans that, next to being the base for the delivery tasks of their human drivers, also function as mobile launching platforms for drones or autonomous delivery robots.
Nils Boysen +2 more
wiley +1 more source
On metaheuristic algorithms for combinatorial optimization problems [PDF]
Systems and Computers in Japan, 2001 Metaheuristic algorithms are widely recognized as one of the most practical approaches for combinatorial optimization problems. Among representative metaheuristics are genetic algorithms, simulated annealing, tabu search, and so on. In this paper, we explain essential ideas used in such metaheuristic algorithms within a generalized framework of local ...
Mutsunori Yagiura, Toshihide Ibaraki
openaire +1 more source
Interdiction Models and Heuristics for Graph Propagation
Networks, EarlyView.ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley +1 more source
Biclustering Algorithms Based on Metaheuristics: A Review
, 2022 32 pages, 6 figures, 2 tables, chapter ...
José-García, Adán +3 more
openaire +3 more sources
Metaheuristic approaches for the quartet method of hierarchical clustering [PDF]
, 2008 Given a set of objects and their pairwise distances, we wish to determine a visual representation of the data. We use the quartet paradigm to compute a hierarchy of clusters of the objects.
Consoli, S +4 more
core
Sustainable Development, EarlyView.ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione +2 more
wiley +1 more source