Results 11 to 20 of about 27,887 (259)
Greedy algorithms in Datalog [PDF]
Theory and Practice of Logic Programming, 2001 In the design of algorithms, the greedy paradigm provides a powerful tool for solving efficiently classical computational problems, within the framework of procedural languages. However, expressing these algorithms within the declarative framework of logic-based languages has proven a difficult research challenge.
GRECO, Sergio, ZANIOLO C.
openaire +6 more sources
Beware greedy algorithms [PDF]
Journal of Animal Ecology, 2019 Nestedness – the tendency for specialist species to interact with subsets of the species that generalist species interact with – is a pervasive feature of empirical mutualistic communities (Bascompte, Jordano, Melián, & Olesen, 2003). While theoretical work has discovered important dynamical implications of nestedness, such as enhanced community ...
Benno I. Simmons +2 more
openaire +2 more sources
Research on task assignment to minimize travel cost for spatio-temporal crowdsourcing
EURASIP Journal on Wireless Communications and Networking, 2021 Online task assignment is one of the core research issues of spatio-temporal crowdsourcing technology. The current researches on minimizing travel cost all focus on the scenario of two objectives (task requesters and workers).
Qingxian Pan +3 more
doaj +1 more source
Hyperparameter Optimization Using Successive Halving with Greedy Cross Validation
Algorithms, 2022 Training and evaluating the performance of many competing Artificial Intelligence (AI)/Machine Learning (ML) models can be very time-consuming and expensive.
Daniel S. Soper
doaj +1 more source
WSN Self-Adaptive Relay Selection for Distribution Grid Monitoring
Journal of Harbin University of Science and Technology, 2023 To research the relay selection of wireless sensor network ( WSN) to improve the monitoring level of distribution network, a self-adaptive ε-greedy algorithm-based WSN relay selection optimization method is proposed according to the existing ε- greedy ...
YANG Huifeng +5 more
doaj +1 more source
A NOVEL GREEDY GENETIC ALGORITHM TO SOLVE COMBINATORIAL OPTIMIZATION PROBLEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In this paper, a modified genetic algorithm based on greedy sequential algorithm is presented to solve combinatorial optimization problem. The algorithm proposed here is a hybrid of heuristic and computational intelligence algorithm where greedy ...
M. A. Basmassi +2 more
doaj +1 more source
A Greedy Hypercube-Labeling Algorithm [PDF]
The Computer Journal, 1992 Due to its attractive topological properties, the hypercube multiprocessor has emerged as one of the architectures of choice when it comes to implementing a large number of computational problems. In many such applications, Gray-code labelings of the hypercube are a crucial prerequisite for obtaining efficient algorithms.
Bhagavathi, D. +2 more
openaire +5 more sources
Distributed greedy pursuit algorithms [PDF]
Signal Processing, 2014 For compressed sensing over arbitrarily connected networks, we consider the problem of estimating underlying sparse signals in a distributed manner. We introduce a new signal model that helps to describe inter-signal correlation among connected nodes.
Dennis Sundman +2 more
openaire +3 more sources
Quantum-Assisted Greedy Algorithms
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022 Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)
Ramin Ayanzadeh +3 more
openaire +4 more sources
Algorithms, 2021 This paper presents a performance comparison of greedy heuristics for a recent variant of the dominating set problem known as the minimum positive influence dominating set (MPIDS) problem. This APX-hard combinatorial optimization problem has applications
Salim Bouamama, Christian Blum
doaj +1 more source