Results 81 to 90 of about 4,898 (223)
Interdiction Models and Heuristics for Graph Propagation
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
Combinatorial optimization problems are prevalent in various domains, such as logistics, planning, and resource allocation. This study is essential to fields such as applied mathematics and computer science.
Mauricio Maca-Chagüendo +1 more
doaj +1 more source
Water-Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP-Hard Problems
Many water-based optimization metaheuristics have been introduced during the last decade, both for combinatorial and for continuous optimization. Despite the strong similarities of these methods in terms of their underlying natural metaphors (most of ...
Fernando Rubio, Ismael Rodríguez
doaj +1 more source
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
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan +14 more
wiley +1 more source
Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li +5 more
wiley +1 more source
ABSTRACT Load‐frequency control (LFC) comprises a primary process in interconnected electrical power systems, playing a critical role in maintaining the stability and reliability of the electrical grid. It is of paramount importance that the designed controller functions in an optimal manner, particularly with regard to the compression of area ...
Bora Çavdar +2 more
wiley +1 more source
A recent review of solution approaches for green vehicle routing problem and its variants
The green vehicle routing problem (GVRP) has been a prominent topic in the literature on logistics and transportation, leading to extensive research and previous review studies covering various aspects.
Annisa Kesy Garside +2 more
doaj +1 more source
Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges
Quantum computers have made significant progress in the last two decades showing great potential in tackling some of the most challenging problems in computing.
Junaid Ur Rehman +8 more
doaj +1 more source

