Results 21 to 30 of about 53,710 (343)
Multivariate time series analysis for short-term forecasting of ground level ozone (O3) in Malaysia [PDF]
, 2021 The declining of air quality mostly affects the elderly, children, people with asthma, as well as a restriction on outdoor activities. Therefore, there is an importance to provide a statistical modelling to forecast the future values of surface layer
Raffee, Ahmad Fauzi
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A Meta-Heuristic-Based Approach for Qos-Aware Service Composition
IEEE Access, 2020 Recently, with the rapid increase in the number of web services, QoS-aware Web Service Composition(QWSC) has become a popular topic in both industry and academia. Meta-heuristic algorithm, as an effective way to solve classical optimization problems, has
Chenyang Li, Jun Li, Huiling Chen
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Dynamic Group-Based Cooperative Optimization Algorithm
IEEE Access, 2020 Several optimization problems from various types of applications have been efficiently resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm.
Mohamad M. Fouad +3 more
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Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer [PDF]
Journal of Mahani Mathematical Research, 2023 One of the principal challenges in the cloud is the task scheduling problem. Appropriate task scheduling algorithms are needed to achieve goals such as load balancing, minimum cost, minimum energy consumption, etc.
Reyhane Ghafari, Najme Mansouri
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A parallel implementation of ant colony optimization [PDF]
, 2002 Ant Colony Optimization is a relatively new class of meta-heuristic search techniques for optimization problems. As it is a population-based technique that examines numerous solution options at each step of the algorithm, there are a variety of ...
Lewis, A., Randall, M
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Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons [PDF]
, 2012 Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature.
Bashiri, Mahdi, Karimi, Hossein
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IEEE Access, 2020 Feature Selection (FS) is an important pre-processing step in the fields of machine learning and data mining, which has a major impact on the performance of the corresponding learning models.
Shameem Ahmed +4 more
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Meta heuristics for the orienteering problem
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003 This paper presents two meta-heuristic techniques, ant colony optimization and tabu search, for the orienteering problem, a general version of the well-known traveling salesman problem with many relevant applications in industry. Both algorithms are compared to other heuristics in the literature.
Yun-Chia Liang +2 more
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Jamming Model for the Extremal Optimization Heuristic [PDF]
, 2001 Extremal Optimization, a recently introduced meta-heuristic for hard optimization problems, is analyzed on a simple model of jamming. The model is motivated first by the problem of finding lowest energy configurations for a disordered spin system on a ...
+20 more
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A new index‐based hyper‐heuristic algorithm for global optimisation problems
IET Software, 2022 In this research study, a new combination search algorithm, based on indexing its constituent processes, is proposed to solve global optimisation problems.
Mohammad Reza Hasanzadeh +2 more
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