Results 21 to 30 of about 52,700 (290)
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems
Mathematics, 2022 When we face real problems using computational resources, we understand that it is common to find combinatorial problems in binary domains. Moreover, we have to take into account a large number of possible candidate solutions, since these can be numerous
Marcelo Becerra-Rozas +6 more
doaj +1 more source
Greedy Randomized Adaptive Search and Variable Neighbourhood Search for the minimum labelling spanning tree problem [PDF]
, 2009 This paper studies heuristics for the minimum labelling spanning tree (MLST) problem. The purpose is to find a spanning tree using edges that are as similar as possible.
Avis +28 more
core +1 more source
IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
A statistical learning based approach for parameter fine-tuning of metaheuristics [PDF]
, 2016 Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted.
Calvet Liñán, Laura +3 more
core +2 more sources
Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems
Mathematics, 2020 Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and with proven excellent capabilities.
Jorge M. Cruz-Duarte +5 more
doaj +1 more source
Redesigning the jMetal Multi-Objective Optimization Framework [PDF]
, 2015 jMetal, an open source, Java-based framework for multi-objective optimization with metaheuristics, has become a valuable tool for many researches in the area as well as for some industrial partners in the last ten years.
Durillo, Juan J. +2 more
core +1 more source
Hybrid Metaheuristics for Multi-Objective Optimization
Journal of Algorithms & Computational Technology, 2015 Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid ...
E-G. Talbi
doaj +1 more source
Advances in Mechanical Engineering, 2022 Parallel machines scheduling problems with continuous availability of machines are NP-hardness (non-deterministic polynomial-time hardness) and have become very popular for the last decade; there is still very limited literature on this problem.
Husam Kaid +5 more
doaj +1 more source
Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
Mathematics, 2022 For years, extensive research has been in the binarization of continuous metaheuristics for solving binary-domain combinatorial problems. This paper is a continuation of a previous review and seeks to draw a comprehensive picture of the various ways to ...
Marcelo Becerra-Rozas +7 more
doaj +1 more source