Results 51 to 60 of about 65,085 (288)
Bayesian Network Structural Learning Using Adaptive Genetic Algorithm with Varying Population Size
Machine Learning and Knowledge Extraction, 2023 A Bayesian network (BN) is a probabilistic graphical model that can model complex and nonlinear relationships. Its structural learning from data is an NP-hard problem because of its search-space size. One method to perform structural learning is a search
Rafael Rodrigues Mendes Ribeiro +1 more
doaj +1 more source
The “Magic” of Conflict: How Participatory Governance Can Enable Transformative Climate Adaptation
Environmental Policy and Governance, EarlyView.ABSTRACT In many cases, addressing climate risks requires transformative climate adaptation (TCA) that goes beyond small adjustments to existing systems. While scholars increasingly argue that participatory governance is key and should embrace conflict rather than push for consensus to enable TCA, this assumption remains underexplored.
Dore Engbersen +2 more
wiley +1 more source
A Fast and Robust Heuristic Algorithm for the Minimum Weight Vertex Cover Problem
IEEE Access, 2021 The minimum weight vertex cover problem (MWVCP) is a fundamental combinatorial optimization problem with various real-world applications. The MWVCP seeks a vertex cover of an undirected graph such that the sum of the weights of the selected vertices is ...
Yang Wang, Zhipeng Lu, Abraham P. Punnen
doaj +1 more source
Energy Science &Engineering, EarlyView.The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali +5 more
wiley +1 more source
Design and research of automated warehouse simulation platform based on virtual visualization framework [PDF]
PeerJ Computer ScienceThe automated storage and retrieval system (AS/RS) has been developed rapidly and has been widely used in various fields. To achieve the ultimate goal of improving the efficiency of warehouse operation, this article studies the problem of goods location-
Huajun Di
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Heuristics for the traveling repairman problem with profits [PDF]
, 2010 In the traveling repairman problem with profits, a repairman (also known as the server) visits a subset of nodes in order to collect time-dependent profits. The objective consists of maximizing the total collected revenue.
Dewilde, Thijs +4 more
core +1 more source
ITERATED TABU SEARCH: AN IMPROVEMENT TO STANDARD TABU SEARCH
Information Technology And Control, 2006 The goal of this paper is to discuss the tabu search (TS) meta-heuristic and its enhancement for combinatorial optimization problems. Firstly, the issues related to the principles and specific features of the standard TS are concerned. Further, a promising extension to the classical tabu search scheme is introduced. The most important component of this
Alfonsas Misevicius +2 more
openaire +2 more sources
TABU SEARCH MODEL SELECTION FOR SVM [PDF]
International Journal of Neural Systems, 2008 A model selection method based on tabu search is proposed to build support vector machines (binary decision functions) of reduced complexity and efficient generalization. The aim is to build a fast and efficient support vector machines classifier. A criterion is defined to evaluate the decision function quality which blends recognition rate and the ...
Lebrun, Gilles +3 more
openaire +3 more sources
Feminist Anthropology, EarlyView.Abstract This article explores how Afro‐Brazilian communities in Pernambuco respond to state‐led industrial development through culturally rooted practices of resistance and repair. Drawing on archival and ethnographic research in the coastal municipalities of Cabo de Santo Agostinho and Ipojuca, this study traces the effects of Brazil's large‐scale ...
Shelly Annette Biesel
wiley +1 more source
Tabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach
International Journal of Industrial Engineering and Production Research, 2010 The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global ...
M. Yaghini, N. Ghazanfari
doaj +2 more sources