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Hybrid coevolutionary algorithms vs. SVM algorithms

Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2007
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational technique is characterized as a soft computing learning method with its roots in the theory of evolution.
Rui Li, Bir Bhanu, Krzysztof Krawiec
openaire   +1 more source

A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing

Future generations computer systems, 2018
Workflow Scheduling in cloud computing has drawn enormous attention due to its wide application in both scientific and business areas. This is particularly an NP-complete problem.
Anubhav Choudhary   +3 more
semanticscholar   +1 more source

Hybrid Simulation Algorithms

2017
In this chapter we will introduce hybrid simulation strategies as a combination of previously introduced simulation algorithms. Hybrid simulation combines the advantages of complementary simulation approaches: a system is partitioned into subsystems that are simulated with different methods.
Luca Marchetti   +2 more
openaire   +1 more source

Neural Network and Genetic Algorithm based Hybrid Data Mining Algorithm (Hybrid Data Mining Algorithm)

2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2019
A hybrid data mining algorithm is presented in this paper. This hybridization is considered the neural network and genetic algorithm. Academic information contains the finite hidden information. This hidden information can be useful for the further planning in academics.
Anil Kumar Tiwari   +3 more
openaire   +1 more source

A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution

Expert systems with applications, 2018
The Gravitational Search Algorithm (GSA) has excellent performance in solving various optimization problems. However, it has been demonstrated that GSA tends to trap into local optima and are easy to lose diversity in the late evolution process.
Fuqing Zhao   +5 more
semanticscholar   +1 more source

Specific evaluation of tunnel lining multi-defects by all-refined GPR simulation method using hybrid algorithm of FETD and FDTD

Construction and Building Materials, 2018
Irregular and complicated tunnel lining defects cannot be finely depicted with the standard finite difference simulation method based on regular mesh due to its irregular geometrical characteristics and complex physical properties of various defects.
Deshan Feng, Xun Wang, Bin Zhang
semanticscholar   +1 more source

Hybrid Cloud Placement Algorithm

2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems, 2014
A fully functional hybrid cloud solution requires a placement service to automatically decide whether an application should be deployed on premise, in a public cloud, or across private and public clouds. Such a service must consider application structure and communication patterns, application affinity requirements, which usually result from data ...
Merve Unuvar   +2 more
openaire   +1 more source

A hybrid algorithm for Urban transit schedule optimization

Physica A: Statistical Mechanics and its Applications, 2018
Designing reasonable departure schedule is the key step to realize the urban transit priority. It can not only reduce the operating cost of bus company, but also guarantee convenience for passengers.
Jinjun Tang, Yifan Yang, Yong Qi
semanticscholar   +1 more source

A new hybrid algorithm for path planning of mobile robot

Journal of Supercomputing, 2021
Tingwei Zhang   +3 more
semanticscholar   +1 more source

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