Results 91 to 100 of about 7,821 (233)
A cooperative hyper-heuristic search framework [PDF]
Journal of Heuristics, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ouelhadj, Djamila, Petrovic, S.
openaire +3 more sources
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
IEEE AccessThe urgent demand to reduce carbon emissions due to global warming has driven innovative approaches in cloud computing. This paper introduces the Hyper-Heuristic for Cloud Scheduling Problems (HHCSP), a hyper-heuristic designed to optimize tasks in cloud
Vinicius Renan De Carvalho +1 more
doaj +1 more source
Non-linear great deluge with learning mechanism for solving the course timetabling problem [PDF]
, 2009 International ...
Landa-Silva, D. +3 more
core +1 more source
A Column Generation Based Hyper-Heuristic to the Bus Driver Scheduling Problem
Discrete Dynamics in Nature and Society, 2015 Public transit providers are facing continuous pressure to improve service quality and reduce operating costs. Bus driver scheduling is among the most studied problems in this area.
Hong Li, Ying Wang, Shi Li, Sujian Li
doaj +1 more source
Sub‐optimal Internet of Thing devices deployment using branch and bound method
IET Networks, EarlyView.The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
PENDEKATAN HYPER HEURISTIC DENGAN KOMBINASI ALGORITMA PADA EXAMINATION TIMETABLING PROBLEM
Ilkom Jurnal Ilmiah, 2019 Generally, exam scheduling is still done manually and definitely will take a long time. Many researches have developed various studies to find a more appropriate strategy. Hyperheuristic was proposed in this study.
Vicha Azthanty Supoyo, Ahmad Muklason
doaj +1 more source
Acoustic indices are not useful for biodiversity research
Methods in Ecology and Evolution, EarlyView.Abstract Biodiversity assessment using passive acoustic monitoring has historically been challenging due to the limited availability of multi‐species acoustic detectors. In this context, acoustic indices were introduced as an alternative way to represent species diversity in acoustic datasets.
Larissa S. M. Sugai +6 more
wiley +1 more source
VehiclesThis paper introduces a novel neuromorphic-inspired hyper-heuristic framework (NeuHH) for solving the Capacitated Single-Allocation p-Hub Location Routing Problem (CSAp-HLRP), a challenging combinatorial optimization problem that jointly addresses hub ...
Kassem Danach +3 more
doaj +1 more source
Towards Many-objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators [PDF]
, 2016 PPSN 2016: 14th International Conference on Parallel Problem Solving from Nature, 17-21 September 2016, Edinburgh, ScotlandThis is the author accepted manuscript.
EK Burke +6 more
core +2 more sources