Optimized Path-Planning in Continuous Spaces for Unmanned Aerial Vehicles Using Meta-Heuristics
IEEE Access, 2020 This work presents a novel path-planning approach for Unmanned Aerial Vehicles (UAVs) in continuous 3D environments. This proposal aims to minimize the path length while avoiding collisions through the suitable adjusting of control points (the points ...
Geovanni Flores-Caballero +3 more
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EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection
IEEE Access, 2020 Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning.
Khalid Hassan Sheikh +6 more
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Meta-Heuristic Development in Combinatorial Optimization
Journal of Physics: Conference Series, 2019 Abstract The quadratic assigment problem is a combinatorial problem of deciding the placement of facilities in specified locations in such a way as to minimize a nonconvex objective function expressed in terms of distance between location and flows between facilities.
Muhammad Iqbal +3 more
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Examination timetabling automation using hybrid meta-heuristics [PDF]
, 2015 Trabalho de projeto realizado para obtenção do grau de Mestre em Engenharia Informática e de ComputadoresNos últimos anos, o tema da geração automática de horários tem sido alvo de muito estudo.
Nunes, Miguel de Brito e
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Global Bacteria Optimization Meta-Heuristic
, 2011 A large number of real-life optimization problems in economics and business are complex and difficult to solve. Hence, using approximate algorithms is a very good alternative to solve this class of problems. Meta-heuristics solution procedures represent general approximate algorithms applicable to a large variety of optimization problems.
Solano Charris, Elyn L. +3 more
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SOLVING FLOWSHOP SCHEDULING PROBLEMS USING A DISCRETE AFRICAN WILD DOG ALGORITHM [PDF]
ICTACT Journal on Soft Computing, 2013 The problem of m-machine permutation flowshop scheduling is considered in this paper. The objective is to minimize the makespan. The flowshop scheduling problem is a typical combinatorial optimization problem and has been proved to be strongly NP-hard ...
M. K. Marichelvam, M. Geetha
doaj
Application of Meta-Heuristics in 5G Network Slicing: A Systematic Review of the Literature. [PDF]
Sensors (Basel), 2022 Gomes R, Vieira D, de Castro MF.
europepmc +1 more source
A Data Structure Boosting The Performance of Local Search For CSP Solving [PDF]
, 2012 International audienceThis paper is concerned with local search techniques (LS) for solving CSPs (Constraint Satisfaction Problems). An e cient data structure is presented that allows the performance of LS to be boosted.
Grégoire, Éric +2 more
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A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms. [PDF]
J Imaging, 2023 Sharma R +6 more
europepmc +1 more source
The crew-scheduling module in the GIST system [PDF]
The public transportation is gaining importance every year basically due the population growth, environmental policies and, route and street congestion.
Helena Ramalhinho-Lourenço
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